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Tseng KC, Wang L, Hsieh C, Wong AM. Portable robots for upper-limb rehabilitation after stroke: a systematic review and meta-analysis. Ann Med 2024; 56:2337735. [PMID: 38640459 PMCID: PMC11034452 DOI: 10.1080/07853890.2024.2337735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 02/28/2024] [Indexed: 04/21/2024] Open
Abstract
BACKGROUND Robot-assisted upper-limb rehabilitation has been studied for many years, with many randomised controlled trials (RCTs) investigating the effects of robotic-assisted training on affected limbs. The current trend directs towards end-effector devices. However, most studies have focused on the effectiveness of rehabilitation devices, but studies on device sizes are relatively few. GOAL Systematically review the effect of a portable rehabilitation robot (PRR) on the rehabilitation effectiveness of paralysed upper limbs compared with non-robotic therapy. METHODS A meta-analysis was conducted on literature that included the Fugl-Meyer Assessment (FMA) obtained from the PubMed and Web of Science (WoS) electronic databases until June 2023. RESULTS A total of 9 studies, which included RCTs, were completed and a meta-analysis was conducted on 8 of them. The analysis involved 295 patients. The influence on upper-limb function before and after treatment in a clinical environment is analysed by comparing the experimental group using the portable upper-limb rehabilitation robot with the control group using conventional therapy. The result shows that portable robots prove to be effective (FMA: SMD = 0.696, 95% = 0.099 to.293, p < 0.05). DISCUSSION Both robot-assisted and conventional rehabilitation effects are comparable. In some studies, PRR performs better than conventional rehabilitation, but conventional treatments are still irreplaceable. Smaller size with better portability has its advantages, and portable upper-limb rehabilitation robots are feasible in clinical rehabilitation. CONCLUSION Although portable upper-limb rehabilitation robots are clinically beneficial, few studies have focused on portability. Further research should focus on modular design so that rehabilitation robots can be decomposed, which benefits remote rehabilitation and household applications.
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Affiliation(s)
- Kevin C. Tseng
- Department of Industrial Design, National Taipei University of Technology, Taipei, Taiwan, ROC
- Product Design and Development Laboratory, Taoyuan, Taiwan, ROC
| | - Le Wang
- Product Design and Development Laboratory, Taoyuan, Taiwan, ROC
| | - Chunkai Hsieh
- Product Design and Development Laboratory, Taoyuan, Taiwan, ROC
| | - Alice M. Wong
- Product Design and Development Laboratory, Taoyuan, Taiwan, ROC
- Department of Physical Medicine and Rehabilitation, Chang Gung Memorial Hospital at Taoyuan, Taoyuan, Taiwan, ROC
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Ito D, Fukuda M, Hosoi Y, Hirose R, Teramae T, Kamimoto T, Yamada Y, Tsuji T, Noda T, Kawakami M. Optimizing shoulder elevation assist rate in exoskeletal rehabilitation based on muscular activity indices: a clinical feasibility study. BMC Neurol 2024; 24:144. [PMID: 38724916 PMCID: PMC11080160 DOI: 10.1186/s12883-024-03651-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Accepted: 04/23/2024] [Indexed: 05/13/2024] Open
Abstract
BACKGROUND Restoring shoulder function is critical for upper-extremity rehabilitation following a stroke. The complex musculoskeletal anatomy of the shoulder presents a challenge for safely assisting elevation movements through robotic interventions. The level of shoulder elevation assistance in rehabilitation is often based on clinical judgment. There is no standardized method for deriving an optimal level of assistance, underscoring the importance of addressing abnormal movements during shoulder elevation, such as abnormal synergies and compensatory actions. This study aimed to investigate the effectiveness and safety of a newly developed shoulder elevation exoskeleton robot by applying a novel optimization technique derived from the muscle synergy index. METHODS Twelve chronic stroke participants underwent an intervention consisting of 100 robot-assisted shoulder elevation exercises (10 × 10 times, approximately 40 min) for 10 days (4-5 times/week). The optimal robot assist rate was derived by detecting the change points using the co-contraction index, calculated from electromyogram (EMG) data obtained from the anterior deltoid and biceps brachii muscles during shoulder elevation at the initial evaluation. The primary outcomes were the Fugl-Meyer assessment-upper extremity (FMA-UE) shoulder/elbow/forearm score, kinematic outcomes (maximum angle of voluntary shoulder flexion and elbow flexion ratio during shoulder elevation), and shoulder pain outcomes (pain-free passive shoulder flexion range of motion [ROM] and visual analogue scale for pain severity during shoulder flexion). The effectiveness and safety of robotic therapy were examined using the Wilcoxon signed-rank sum test. RESULTS All 12 patients completed the procedure without any adverse events. Two participants were excluded from the analysis because the EMG of the biceps brachii was not obtained. Ten participants (five men and five women; mean age: 57.0 [5.5] years; mean FMA-UE total score: 18.7 [10.5] points) showed significant improvement in the FMA-UE shoulder/elbow/forearm score, kinematic outcomes, and pain-free passive shoulder flexion ROM (P < 0.05). The shoulder pain outcomes remained unchanged or improved in all patients. CONCLUSIONS The study presents a method for deriving the optimal robotic assist rate. Rehabilitation using a shoulder robot based on this derived optimal assist rate showed the possibility of safely improving the upper-extremity function in patients with severe stroke in the chronic phase.
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Affiliation(s)
- Daisuke Ito
- Department of Rehabilitation Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Mori Fukuda
- Graduate School of Science and Technology, Keio University, Tokyo, Kanagawa, Japan
| | - Yuichiro Hosoi
- Department of Rehabilitation Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Ryotaro Hirose
- Graduate School of Science and Technology, Keio University, Tokyo, Kanagawa, Japan
| | - Tatsuya Teramae
- Department of Brain Robot Interface, Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institute International, Kyoto, Japan
| | - Takayuki Kamimoto
- Department of Rehabilitation Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Yuka Yamada
- Department of Rehabilitation Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Tetsuya Tsuji
- Department of Rehabilitation Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Tomoyuki Noda
- Department of Rehabilitation Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
- Department of Brain Robot Interface, Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institute International, Kyoto, Japan
| | - Michiyuki Kawakami
- Department of Rehabilitation Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
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Höhler C, Trigili E, Astarita D, Hermsdörfer J, Jahn K, Krewer C. The efficacy of hybrid neuroprostheses in the rehabilitation of upper limb impairment after stroke, a narrative and systematic review with a meta-analysis. Artif Organs 2024; 48:232-253. [PMID: 37548237 DOI: 10.1111/aor.14618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 06/30/2023] [Accepted: 07/17/2023] [Indexed: 08/08/2023]
Abstract
BACKGROUND Paresis of the upper limb (UL) is the most frequent impairment after a stroke. Hybrid neuroprostheses, i.e., the combination of robots and electrical stimulation, have emerged as an option to treat these impairments. METHODS To give an overview of existing devices, their features, and how they are linked to clinical metrics, four different databases were systematically searched for studies on hybrid neuroprostheses for UL rehabilitation after stroke. The evidence on the efficacy of hybrid therapies was synthesized. RESULTS Seventy-three studies were identified, introducing 32 hybrid systems. Among the most recent devices (n = 20), most actively reinforce movement (3 passively) and are typical exoskeletons (3 end-effectors). If classified according to the International Classification of Functioning, Disability and Health, systems for proximal support are expected to affect body structures and functions, while the activity and participation level are targeted when applying Functional Electrical Stimulation distally plus the robotic component proximally. The meta-analysis reveals a significant positive effect on UL functions (p < 0.001), evident in a 7.8-point Mdiff between groups in the Fugl-Meyer assessment. This positive effect remains at the 3-month follow-up (Mdiff = 8.4, p < 0.001). CONCLUSIONS Hybrid neuroprostheses have a positive effect on UL recovery after stroke, with effects persisting at least three months after the intervention. Non-significant studies were those with the shortest intervention periods and the oldest patients. Improvements in UL functions are not only present in the subacute phase after stroke but also in long-term chronic stages. In addition to further technical development, more RCTs are needed to make assumptions about the determinants of successful therapy.
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Affiliation(s)
- Chiara Höhler
- Research Department, Schoen Clinic Bad Aibling, Bad Aibling, Germany
- Chair of Human Movement Science, Faculty of Sport and Health Science, Technical University Munich, Munich, Germany
| | - Emilio Trigili
- The Biorobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy
- Department of Excellence in Robotics & AI, Scuola Superiore Sant'Anna, Pisa, Italy
| | - Davide Astarita
- The Biorobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy
- Department of Excellence in Robotics & AI, Scuola Superiore Sant'Anna, Pisa, Italy
| | - Joachim Hermsdörfer
- Chair of Human Movement Science, Faculty of Sport and Health Science, Technical University Munich, Munich, Germany
| | - Klaus Jahn
- Research Department, Schoen Clinic Bad Aibling, Bad Aibling, Germany
- German Center for Vertigo and Balance Disorders (DSGZ), Ludwig-Maximilians University of Munich (LMU), Munich, Germany
| | - Carmen Krewer
- Research Department, Schoen Clinic Bad Aibling, Bad Aibling, Germany
- Chair of Human Movement Science, Faculty of Sport and Health Science, Technical University Munich, Munich, Germany
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Khan MA, Fares H, Ghayvat H, Brunner IC, Puthusserypady S, Razavi B, Lansberg M, Poon A, Meador KJ. A systematic review on functional electrical stimulation based rehabilitation systems for upper limb post-stroke recovery. Front Neurol 2023; 14:1272992. [PMID: 38145118 PMCID: PMC10739305 DOI: 10.3389/fneur.2023.1272992] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2023] [Accepted: 11/20/2023] [Indexed: 12/26/2023] Open
Abstract
Background Stroke is one of the most common neurological conditions that often leads to upper limb motor impairments, significantly affecting individuals' quality of life. Rehabilitation strategies are crucial in facilitating post-stroke recovery and improving functional independence. Functional Electrical Stimulation (FES) systems have emerged as promising upper limb rehabilitation tools, offering innovative neuromuscular reeducation approaches. Objective The main objective of this paper is to provide a comprehensive systematic review of the start-of-the-art functional electrical stimulation (FES) systems for upper limb neurorehabilitation in post-stroke therapy. More specifically, this paper aims to review different types of FES systems, their feasibility testing, or randomized control trials (RCT) studies. Methods The FES systems classification is based on the involvement of patient feedback within the FES control, which mainly includes "Open-Loop FES Systems" (manually controlled) and "Closed-Loop FES Systems" (brain-computer interface-BCI and electromyography-EMG controlled). Thus, valuable insights are presented into the technological advantages and effectiveness of Manual FES, EEG-FES, and EMG-FES systems. Results and discussion The review analyzed 25 studies and found that the use of FES-based rehabilitation systems resulted in favorable outcomes for the stroke recovery of upper limb functional movements, as measured by the FMA (Fugl-Meyer Assessment) (Manually controlled FES: mean difference = 5.6, 95% CI (3.77, 7.5), P < 0.001; BCI-controlled FES: mean difference = 5.37, 95% CI (4.2, 6.6), P < 0.001; EMG-controlled FES: mean difference = 14.14, 95% CI (11.72, 16.6), P < 0.001) and ARAT (Action Research Arm Test) (EMG-controlled FES: mean difference = 11.9, 95% CI (8.8, 14.9), P < 0.001) scores. Furthermore, the shortcomings, clinical considerations, comparison to non-FES systems, design improvements, and possible future implications are also discussed for improving stroke rehabilitation systems and advancing post-stroke recovery. Thus, summarizing the existing literature, this review paper can help researchers identify areas for further investigation. This can lead to formulating research questions and developing new studies aimed at improving FES systems and their outcomes in upper limb rehabilitation.
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Affiliation(s)
- Muhammad Ahmed Khan
- Department of Neurology and Neurological Sciences, Stanford University, Palo Alto, CA, United States
- Department of Electrical Engineering, Stanford University, Palo Alto, CA, United States
- Department of Health Technology, Technical University of Denmark, Lyngby, Denmark
| | - Hoda Fares
- Department of Electrical, Electronic, Telecommunication Engineering and Naval Architecture (DITEN), University of Genoa, Genoa, Italy
| | - Hemant Ghayvat
- Department of Computer Science, Linnaeus University, Växjö, Sweden
| | | | | | - Babak Razavi
- Department of Neurology and Neurological Sciences, Stanford University, Palo Alto, CA, United States
| | - Maarten Lansberg
- Department of Neurology and Neurological Sciences, Stanford University, Palo Alto, CA, United States
| | - Ada Poon
- Department of Electrical Engineering, Stanford University, Palo Alto, CA, United States
| | - Kimford Jay Meador
- Department of Neurology and Neurological Sciences, Stanford University, Palo Alto, CA, United States
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Clancy EA, Morin EL, Hajian G, Merletti R. Tutorial. Surface electromyogram (sEMG) amplitude estimation: Best practices. J Electromyogr Kinesiol 2023; 72:102807. [PMID: 37552918 DOI: 10.1016/j.jelekin.2023.102807] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 06/01/2023] [Accepted: 08/01/2023] [Indexed: 08/10/2023] Open
Abstract
This tutorial intends to provide insight, instructions and "best practices" for those who are novices-including clinicians, engineers and non-engineers-in extracting electromyogram (EMG) amplitude from the bipolar surface EMG (sEMG) signal of voluntary contractions. A brief discussion of sEMG amplitude extraction from high density sEMG (HDsEMG) arrays and feature extraction from electrically elicited contractions is also provided. This tutorial attempts to present its main concepts in a straightforward manner that is accessible to novices in the field not possessing a wide range of technical background (if any) in this area. Surface EMG amplitude, also referred to as the sEMG envelope [often implemented as root mean square (RMS) sEMG or average rectified value (ARV) sEMG], quantifies the voltage variation of the sEMG signal and is grossly related to the overall neural excitation of the muscle and to peripheral parameters. The tutorial briefly reviews the physiological origin of the voluntary sEMG signal and sEMG recording, including electrode configurations, sEMG signal transduction, electronic conditioning and conversion by an analog-to-digital converter. These topics have been covered in greater detail in prior tutorials in this series. In depth descriptions of state-of-the-art methods for computing sEMG amplitude are then provided, including guidance on signal pre-conditioning, absolute value vs. square-law detection, selection of appropriate sEMG amplitude smoothing filters and attenuation of measurement noise. The tutorial provides a detailed list of best practices for sEMG amplitude estimation.
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Affiliation(s)
| | - Evelyn L Morin
- Department of Electrical and Computer Engineering, Queen's University, Kingston, Ontario, Canada.
| | - Gelareh Hajian
- Toronto Rehab Research Institute, University Health Network, Toronto, Ontario, Canada.
| | - Roberto Merletti
- LISiN, Dept. of Electronics and Telecommunications, Politecnico di Torino, Torino, Italy.
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Cazenave L, Yurkewich A, Hohler C, Keller T, Krewer C, Jahn K, Hirche S, Endo S, Burdet E. Hybrid Functional Electrical Stimulation and Robotic Assistance for Wrist Motion Training After Stroke: Preliminary Results. IEEE Int Conf Rehabil Robot 2023; 2023:1-6. [PMID: 37941261 DOI: 10.1109/icorr58425.2023.10304736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2023]
Abstract
This work presents preliminary results of a clinical study with sub-acute stroke patients using a hybrid system for wrist rehabilitation. The patients trained their wrist flexion/extension motion through a target tracking task, where electrical stimulation and robotic torque assisted them proportionally to their tracking error. Five sub-acute stroke patients have completed the training for 3 sessions on separate days. The preliminary results show hybrid assistance improves tracking performance and motion smoothness in most participants. In each session, patients' tracking performances before and after training were evaluated in unassisted tracking trials, without assistance. Their unassisted performance was compared across sessions and the results suggest that moderately to severely impaired patients might benefit more from hybrid training with our system than mildly impaired patients. Subjective assessments from all sessions show that the patients found the use of the device very comfortable and the training enjoyable. More data is being collected and future work will aim at verifying these trends.
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Zhang Z, Kan EC. Novel Muscle Sensing by Radiomyography (RMG) and Its Application to Hand Gesture Recognition. IEEE SENSORS JOURNAL 2023; 23:20116-20128. [PMID: 38510062 PMCID: PMC10950291 DOI: 10.1109/jsen.2023.3294329] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/22/2024]
Abstract
Conventional electromyography (EMG) measures the continuous neural activity during muscle contraction, but lacks explicit quantification of the actual contraction. Mechanomyography (MMG) and accelerometers only measure body surface motion, while ultrasound, CT-scan and MRI are restricted to in-clinic snapshots. Here we propose a novel radiomyography (RMG) for continuous muscle actuation sensing that can be wearable or touchless, capturing both superficial and deep muscle groups. We verified RMG experimentally by a wearable forearm sensor for hand gesture recognition (HGR). We first converted the sensor outputs to the time-frequency spectrogram, and then employed the vision transformer (ViT) deep learning network as the classification model, which can recognize 23 gestures with an average accuracy up to 99% on 8 subjects. By transfer learning, high adaptivity to user difference and sensor variation were achieved at an average accuracy up to 97%. We further extended RMG to monitor eye and leg muscles and achieved high accuracy for eye movement and body posture tracking. RMG can be used with synchronous EMG to derive stimulation-actuation waveforms for many potential applications in kinesiology, physiotherapy, rehabilitation, and human-machine interface.
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Affiliation(s)
- Zijing Zhang
- School of Electrical and Computer Engineering, Cornell University, Ithaca, NY 14853, USA
| | - Edwin C Kan
- School of Electrical and Computer Engineering, Cornell University, Ithaca, NY 14853, USA
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8
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Bandini V, Carpinella I, Marzegan A, Jonsdottir J, Frigo CA, Avanzino L, Pelosin E, Ferrarin M, Lencioni T. Surface-Electromyography-Based Co-Contraction Index for Monitoring Upper Limb Improvements in Post-Stroke Rehabilitation: A Pilot Randomized Controlled Trial Secondary Analysis. SENSORS (BASEL, SWITZERLAND) 2023; 23:7320. [PMID: 37687775 PMCID: PMC10490112 DOI: 10.3390/s23177320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 07/28/2023] [Accepted: 08/04/2023] [Indexed: 09/10/2023]
Abstract
Persons post-stroke experience excessive muscle co-contraction, and consequently the arm functions are compromised during the activities of daily living. Therefore, identifying instrumental outcome measures able to detect the motor strategy adopted after a stroke is a primary clinical goal. Accordingly, this study aims at verifying whether the surface electromyography (sEMG)-based co-contraction index (CCI) could be a new clinically feasible approach for assessing and monitoring patients' motor performance. Thirty-four persons post-stroke underwent clinical assessment and upper extremity kinematic analysis, including sEMG recordings. The participants were randomized into two treatment groups (robot and usual care groups). Ten healthy subjects provided a normative reference (NR). Frost's CCI was used to quantify the muscle co-contraction of three different agonist/antagonist muscle pairs during an object-placing task. Persons post-stroke showed excessive muscle co-contraction (mean (95% CI): anterior/posterior deltoid CCI: 0.38 (0.34-0.41) p = 0.03; triceps/biceps CCI: 0.46 (0.41-0.50) p = 0.01) compared to NR (anterior/posterior deltoid CCI: 0.29 (0.21-0.36); triceps/biceps CCI: 0.34 (0.30-0.39)). After robot therapy, persons post-stroke exhibited a greater improvement (i.e., reduced CCI) in proximal motor control (anterior/posterior deltoid change score of CCI: -0.02 (-0.07-0.02) p = 0.05) compared to usual care therapy (0.04 (0.00-0.09)). Finally, the findings of the present study indicate that the sEMG-based CCI could be a valuable tool in clinical practice.
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Affiliation(s)
- Virginia Bandini
- IRCCS Fondazione Don Carlo Gnocchi Onlus, Via Capecelatro 66, 20148 Milan, Italy; (V.B.); (I.C.); (A.M.); (J.J.); (T.L.)
| | - Ilaria Carpinella
- IRCCS Fondazione Don Carlo Gnocchi Onlus, Via Capecelatro 66, 20148 Milan, Italy; (V.B.); (I.C.); (A.M.); (J.J.); (T.L.)
| | - Alberto Marzegan
- IRCCS Fondazione Don Carlo Gnocchi Onlus, Via Capecelatro 66, 20148 Milan, Italy; (V.B.); (I.C.); (A.M.); (J.J.); (T.L.)
| | - Johanna Jonsdottir
- IRCCS Fondazione Don Carlo Gnocchi Onlus, Via Capecelatro 66, 20148 Milan, Italy; (V.B.); (I.C.); (A.M.); (J.J.); (T.L.)
| | - Carlo Albino Frigo
- Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milan, Italy;
| | - Laura Avanzino
- Department of Experimental Medicine, Section of Human Physiology, University of Genoa, 16132 Genoa, Italy;
- IRCCS Ospedale Policlinico San Martino, IRCCS, 16132 Genoa, Italy;
| | - Elisa Pelosin
- IRCCS Ospedale Policlinico San Martino, IRCCS, 16132 Genoa, Italy;
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics and Maternal Child Health, University of Genoa, 16132 Genova, Italy
| | - Maurizio Ferrarin
- IRCCS Fondazione Don Carlo Gnocchi Onlus, Via Capecelatro 66, 20148 Milan, Italy; (V.B.); (I.C.); (A.M.); (J.J.); (T.L.)
| | - Tiziana Lencioni
- IRCCS Fondazione Don Carlo Gnocchi Onlus, Via Capecelatro 66, 20148 Milan, Italy; (V.B.); (I.C.); (A.M.); (J.J.); (T.L.)
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Bin L, Wang X, Jiatong H, Donghua F, Qiang W, Yingchao S, Yiming M, Yong M. The effect of robot-assisted gait training for patients with spinal cord injury: a systematic review and meta-analysis. Front Neurosci 2023; 17:1252651. [PMID: 37680972 PMCID: PMC10482434 DOI: 10.3389/fnins.2023.1252651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 07/28/2023] [Indexed: 09/09/2023] Open
Abstract
Background With the aging of the global population, Spinal injuries are often prone to occur and affect human health. The development of technology has put robots on the stage to assist in the treatment of spinal injuries. Methods A comprehensive literature search were carried out in multiple databases, including PubMed, Medline (Ovid), Web of Science, Cochrane, Embase, Scopus, CKNI, Wang fang, VIP database, Sino Med, Clinical Trails until 20th, June, 2023 to collect effect of robot-assisted gait training for patients with spinal cord injury patients. Primary outcome includes any changes of gait distance and gait speed. Secondary outcomes include any changes in functions (Such as TUG, Leg strength, 10 MWT) and any advent events. Data were extracted from two independent individuals and Cochrane Risk of Bias tool version 2.0 was assessed for the included studies. Systematic review and meta-analysis were performed by RevMan 5.3 software. Results 11 studies were included in meta-analysis. The result showed that gait distance [WMD = 16.05, 95% CI (-15.73, 47.83), I2 = 69%], gait speed (RAGT vs. regular treatment) [WMD = 0.01, 95% CI (-0.04, 0.05), I2 = 43%], gait speed (RAGT vs. no intervention) [WMD = 0.07, 95% CI (0.01, 0.12), I2 = 0%], leg strength [WMD = 0.59, 95% CI (-1.22, 2.40), I2 = 29%], TUG [WMD = 9.25, 95% CI (2.76, 15.73), I2 = 74%], 10 MWT [WMD = 0.01, 95% CI (-0.15, 0.16), I2 = 0%], and 6 MWT [WMD = 1.79, 95% CI (-21.32, 24.90), I2 = 0%]. Conclusion Robot-assisted gait training seems to be helpful for patients with spinal cord to improve TUG. It may not affect gait distance, gait speed, leg strength, 10 MWT, and 6 MWT.
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Affiliation(s)
- Luo Bin
- Department of Orthopaedics, Changshu Hospital Affiliated to Nanjing University of Chinese Medicine, Changshu, China
| | - Xiaoping Wang
- Department of Orthopedics, PLA Strategic Support Force Characteristic Medical Center, Beijing, China
| | - Hu Jiatong
- Department of Acupuncture and Moxibustion, Guang'an Men Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Fan Donghua
- Department of Orthopaedics, Changshu Hospital Affiliated to Nanjing University of Chinese Medicine, Changshu, China
| | - Wang Qiang
- Department of Orthopaedics, Changshu Hospital Affiliated to Nanjing University of Chinese Medicine, Changshu, China
| | - Shen Yingchao
- Department of Orthopaedics, Changshu Hospital Affiliated to Nanjing University of Chinese Medicine, Changshu, China
| | - Miao Yiming
- Department of Orthopaedics, Changshu Hospital Affiliated to Nanjing University of Chinese Medicine, Changshu, China
| | - Ma Yong
- Institute of Traumatology & Orthopedics and Laboratory of New Techniques of Restoration & Reconstruction of Orthopedics and Traumatology, Nanjing University of Chinese Medicine, Nanjing, China
- Department of Traumatology & Orthopedics, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
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10
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Huo Y, Wang X, Zhao W, Hu H, Li L. Effects of EMG-based robot for upper extremity rehabilitation on post-stroke patients: a systematic review and meta-analysis. Front Physiol 2023; 14:1172958. [PMID: 37256069 PMCID: PMC10226272 DOI: 10.3389/fphys.2023.1172958] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Accepted: 04/20/2023] [Indexed: 06/01/2023] Open
Abstract
Objective: A growing body of research shows the promise and efficacy of EMG-based robot interventions in improving the motor function in stroke survivors. However, it is still controversial whether the effect of EMG-based robot is more effective than conventional therapies. This study focused on the effects of EMG-based robot on upper limb motor control, spasticity and activity limitation in stroke survivors compared with conventional rehabilitation techniques. Methods: We searched electronic databases for relevant randomized controlled trials. Outcomes included Fugl-Meyer assessment scale (FMA), Modified Ashworth Scale (MAS), and activity level. Result: Thirteen studies with 330 subjects were included. The results showed that the outcomes post intervention was significantly improved in the EMG-based robot group. Results from subgroup analyses further revealed that the efficacy of the treatment was better in patients in the subacute stage, those who received a total treatment time of less than 1000 min, and those who received EMG-based robotic therapy combined with electrical stimulation (ES). Conclusion: The effect of EMG-based robot is superior to conventional therapies in terms of improving upper extremity motor control, spasticity and activity limitation. Further research should explore optimal parameters of EMG-based robot therapy and its long-term effects on upper limb function in post-stroke patients. Systematic Review Registration: https://www.crd.york.ac.uk/PROSPERO/; Identifier: 387070.
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Affiliation(s)
- Yunxia Huo
- Institute of Medical Research, Northwestern Polytechnical University, Xi’an, China
- Research & Development Institute of Northwestern Polytechnical University in Shenzhen, Shenzhen, China
| | - Xiaohan Wang
- Institute of Medical Research, Northwestern Polytechnical University, Xi’an, China
- Research & Development Institute of Northwestern Polytechnical University in Shenzhen, Shenzhen, China
| | - Weihua Zhao
- Northwestern Polytechnical University Hospital, Xi’an, China
| | - Huijing Hu
- Institute of Medical Research, Northwestern Polytechnical University, Xi’an, China
| | - Le Li
- Institute of Medical Research, Northwestern Polytechnical University, Xi’an, China
- Research & Development Institute of Northwestern Polytechnical University in Shenzhen, Shenzhen, China
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11
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Yüksel MM, Sun S, Latchoumane C, Bloch J, Courtine G, Raffin EE, Hummel FC. Low-Intensity Focused Ultrasound Neuromodulation for Stroke Recovery: A Novel Deep Brain Stimulation Approach for Neurorehabilitation? IEEE OPEN JOURNAL OF ENGINEERING IN MEDICINE AND BIOLOGY 2023; 4:300-318. [PMID: 38196977 PMCID: PMC10776095 DOI: 10.1109/ojemb.2023.3263690] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 03/17/2023] [Accepted: 03/24/2023] [Indexed: 01/11/2024] Open
Abstract
Stroke as the leading cause of adult long-term disability and has a significant impact on patients, society and socio-economics. Non-invasive brain stimulation (NIBS) approaches such as transcranial magnetic stimulation (TMS) or transcranial electrical stimulation (tES) are considered as potential therapeutic options to enhance functional reorganization and augment the effects of neurorehabilitation. However, non-invasive electrical and magnetic stimulation paradigms are limited by their depth focality trade-off function that does not allow to target deep key brain structures critically important for recovery processes. Transcranial ultrasound stimulation (TUS) is an emerging approach for non-invasive deep brain neuromodulation. Using non-ionizing, ultrasonic waves with millimeter-accuracy spatial resolution, excellent steering capacity and long penetration depth, TUS has the potential to serve as a novel non-invasive deep brain stimulation method to establish unprecedented neuromodulation and novel neurorehabilitation protocols. The purpose of the present review is to provide an overview on the current knowledge about the neuromodulatory effects of TUS while discussing the potential of TUS in the field of stroke recovery, with respect to existing NIBS methods. We will address and discuss critically crucial open questions and remaining challenges that need to be addressed before establishing TUS as a new clinical neurorehabilitation approach for motor stroke recovery.
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Affiliation(s)
- Mahmut Martin Yüksel
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute and Brain Mind InstituteÉcole Polytechnique Fédérale de LausanneGeneva1201Switzerland
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute and Brain Mind InstituteÉcole Polytechnique Fédérale de Lausanne Valais, Clinique Romande de Réadaptation Sion1951Switzerland
| | - Shiqi Sun
- Neuro-X Institute and Brain Mind Institute, School of Life SciencesSwiss Federal Institute of Technology (EPFL)Lausanne1015Switzerland
- Department of Clinical NeuroscienceLausanne University Hospital (CHUV) and the University of Lausanne (UNIL)Lausanne1011Switzerland
- Defitech Center for Interventional Neurotherapies (NeuroRestore)EPFL/CHUV/UNILLausanne1011Switzerland
| | - Charles Latchoumane
- Neuro-X Institute and Brain Mind Institute, School of Life SciencesSwiss Federal Institute of Technology (EPFL)Lausanne1015Switzerland
- Department of Clinical NeuroscienceLausanne University Hospital (CHUV) and the University of Lausanne (UNIL)Lausanne1011Switzerland
- Defitech Center for Interventional Neurotherapies (NeuroRestore)EPFL/CHUV/UNILLausanne1011Switzerland
| | - Jocelyne Bloch
- Neuro-X Institute and Brain Mind Institute, School of Life SciencesSwiss Federal Institute of Technology (EPFL)Lausanne1015Switzerland
- Department of Clinical NeuroscienceLausanne University Hospital (CHUV) and the University of Lausanne (UNIL)Lausanne1015Switzerland
- Defitech Center for Interventional Neurotherapies (NeuroRestore)EPFL/CHUV/UNILLausanne1015Switzerland
- Department of NeurosurgeryLausanne University HospitalLausanne1011Switzerland
| | - Gregoire Courtine
- Department of Clinical NeuroscienceLausanne University Hospital (CHUV) and the University of Lausanne (UNIL)Lausanne1015Switzerland
- Defitech Center for Interventional Neurotherapies (NeuroRestore)EPFL/CHUV/UNILLausanne1015Switzerland
- Department of NeurosurgeryLausanne University HospitalLausanne1011Switzerland
| | - Estelle Emeline Raffin
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute and Brain Mind InstituteÉcole Polytechnique Fédérale de LausanneGeneva1201Switzerland
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute and Brain Mind InstituteÉcole Polytechnique Fédérale de Lausanne Valais, Clinique Romande de Réadaptation Sion1951Switzerland
| | - Friedhelm Christoph Hummel
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute and Brain Mind InstituteÉcole Polytechnique Fédérale de LausanneGeneva1202Switzerland
- Defitech Chair of Clinical Neuroengineering, Neuro-X Institute and Brain Mind InstituteÉcole Polytechnique Fédérale de Lausanne Valais, Clinique Romande de Réadaptation Sion1951Switzerland
- Clinical NeuroscienceUniversity of Geneva Medical SchoolGeneva1211Switzerland
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12
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Zhu Y, Wang C, Li J, Zeng L, Zhang P. Effect of different modalities of artificial intelligence rehabilitation techniques on patients with upper limb dysfunction after stroke-A network meta-analysis of randomized controlled trials. Front Neurol 2023; 14:1125172. [PMID: 37139055 PMCID: PMC10150552 DOI: 10.3389/fneur.2023.1125172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 03/21/2023] [Indexed: 05/05/2023] Open
Abstract
Background This study aimed to observe the effects of six different types of AI rehabilitation techniques (RR, IR, RT, RT + VR, VR and BCI) on upper limb shoulder-elbow and wrist motor function, overall upper limb function (grip, grasp, pinch and gross motor) and daily living ability in subjects with stroke. Direct and indirect comparisons were drawn to conclude which AI rehabilitation techniques were most effective in improving the above functions. Methods From establishment to 5 September 2022, we systematically searched PubMed, EMBASE, the Cochrane Library, Web of Science, CNKI, VIP and Wanfang. Only randomized controlled trials (RCTs) that met the inclusion criteria were included. The risk of bias in studies was evaluated using the Cochrane Collaborative Risk of Bias Assessment Tool. A cumulative ranking analysis by SUCRA was performed to compare the effectiveness of different AI rehabilitation techniques for patients with stroke and upper limb dysfunction. Results We included 101 publications involving 4,702 subjects. According to the results of the SUCRA curves, RT + VR (SUCRA = 84.8%, 74.1%, 99.6%) was most effective in improving FMA-UE-Distal, FMA-UE-Proximal and ARAT function for subjects with upper limb dysfunction and stroke, respectively. IR (SUCRA = 70.5%) ranked highest in improving FMA-UE-Total with upper limb motor function amongst subjects with stroke. The BCI (SUCRA = 73.6%) also had the most significant advantage in improving their MBI daily living ability. Conclusions The network meta-analysis (NMA) results and SUCRA rankings suggest RT + VR appears to have a greater advantage compared with other interventions in improving upper limb motor function amongst subjects with stroke in FMA-UE-Proximal and FMA-UE-Distal and ARAT. Similarly, IR had shown the most significant advantage over other interventions in improving the FMA-UE-Total upper limb motor function score of subjects with stroke. The BCI also had the most significant advantage in improving their MBI daily living ability. Future studies should consider and report on key patient characteristics, such as stroke severity, degree of upper limb impairment, and treatment intensity/frequency and duration. Systematic review registration www.crd.york.ac.uk/prospero/#recordDetail, identifier: CRD42022337776.
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Affiliation(s)
- Yu Zhu
- School of Sports Medicine and Rehabilitation, Beijing Sport University, Beijing, China
- Linfen Central Hospital, Linfen, Shanxi, China
| | - Chen Wang
- School of Sports Medicine and Rehabilitation, Beijing Sport University, Beijing, China
| | - Jin Li
- School of Sports Medicine and Rehabilitation, Beijing Sport University, Beijing, China
| | - Liqing Zeng
- School of Sports Medicine and Rehabilitation, Beijing Sport University, Beijing, China
| | - Peizhen Zhang
- School of Sports Medicine and Rehabilitation, Beijing Sport University, Beijing, China
- *Correspondence: Peizhen Zhang
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13
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Hernández Echarren A, Sánchez Cabeza Á. [Hand robotic devices in neurorehabilitation: A systematic review on the feasibility and effectiveness of stroke rehabilitation]. Rehabilitacion (Madr) 2023; 57:100758. [PMID: 36319483 DOI: 10.1016/j.rh.2022.08.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 07/18/2022] [Accepted: 08/01/2022] [Indexed: 11/22/2022]
Abstract
Robot-assisted therapy is a relatively new intervention, increasingly used in the rehabilitation treatment of stroke patients. It allows to increase the number of repetitions in the performance of specific tasks movements. For this review, a search was carried out between August and October 2021 in the PubMed, Web of Science, Scopus, Cochrane, PEDro and OTseeker databases, selecting a total of six randomized controlled trials where robot-assisted hand therapy was used in stroke rehabilitation. Studies agree that robot-assisted hand therapy has benefits in all phases of stroke rehabilitation that translate into motor and functional improvements of the upper limb and improvements in hemispatial neglect.
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Affiliation(s)
- A Hernández Echarren
- Departamento de Fisioterapia, Terapia Ocupacional, Rehabilitación y Medicina Física, Facultad de Ciencias de la Salud, Universidad Rey Juan Carlos, Madrid, España.
| | - Á Sánchez Cabeza
- Departamento de Fisioterapia, Terapia Ocupacional, Rehabilitación y Medicina Física, Facultad de Ciencias de la Salud, Universidad Rey Juan Carlos, Madrid, España
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14
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Bressi F, Cricenti L, Campagnola B, Bravi M, Miccinilli S, Santacaterina F, Sterzi S, Straudi S, Agostini M, Paci M, Casanova E, Marino D, La Rosa G, Giansanti D, Perrero L, Battistini A, Filoni S, Sicari M, Petrozzino S, Solaro CM, Gargano S, Benanti P, Boldrini P, Bonaiuti D, Castelli E, Draicchio F, Falabella V, Galeri S, Gimigliano F, Grigioni M, Mazzoleni S, Mazzon S, Molteni F, Petrarca M, Picelli A, Posteraro F, Senatore M, Turchetti G, Morone G, Gallotti M, Germanotta M, Aprile I. Effects of robotic upper limb treatment after stroke on cognitive patterns: A systematic review. NeuroRehabilitation 2022; 51:541-558. [PMID: 36530099 PMCID: PMC9837692 DOI: 10.3233/nre-220149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
BACKGROUND Robotic therapy (RT) has been internationally recognized for the motor rehabilitation of the upper limb. Although it seems that RT can stimulate and promote neuroplasticity, the effectiveness of robotics in restoring cognitive deficits has been considered only in a few recent studies. OBJECTIVE To verify whether, in the current state of the literature, cognitive measures are used as inclusion or exclusion criteria and/or outcomes measures in robotic upper limb rehabilitation in stroke patients. METHODS The systematic review was conducted according to PRISMA guidelines. Studies eligible were identified through PubMed/MEDLINE and Web of Science from inception to March 2021. RESULTS Eighty-one studies were considered in this systematic review. Seventy-three studies have at least a cognitive inclusion or exclusion criteria, while only seven studies assessed cognitive outcomes. CONCLUSION Despite the high presence of cognitive instruments used for inclusion/exclusion criteria their heterogeneity did not allow the identification of a guideline for the evaluation of patients in different stroke stages. Therefore, although the heterogeneity and the low percentage of studies that included cognitive outcomes, seemed that the latter were positively influenced by RT in post-stroke rehabilitation. Future larger RCTs are needed to outline which cognitive scales are most suitable and their cut-off, as well as what cognitive outcome measures to use in the various stages of post-stroke rehabilitation.
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Affiliation(s)
- Federica Bressi
- Physical Medicine and Rehabilitation Unit, Campus Bio-Medico University Polyclinic Foundation, Rome, Italy
| | - Laura Cricenti
- Physical Medicine and Rehabilitation Unit, Campus Bio-Medico University Polyclinic Foundation, Rome, Italy
| | - Benedetta Campagnola
- Physical Medicine and Rehabilitation Unit, Campus Bio-Medico University Polyclinic Foundation, Rome, Italy,Address for correspondence: Benedetta Campagnola, Physical Medicine and Rehabilitation Unit, Campus Bio-Medico University Polyclinic Foundation, Rome, Italy. E-mail:
| | - Marco Bravi
- Physical Medicine and Rehabilitation Unit, Campus Bio-Medico University Polyclinic Foundation, Rome, Italy
| | - Sandra Miccinilli
- Physical Medicine and Rehabilitation Unit, Campus Bio-Medico University Polyclinic Foundation, Rome, Italy
| | - Fabio Santacaterina
- Physical Medicine and Rehabilitation Unit, Campus Bio-Medico University Polyclinic Foundation, Rome, Italy
| | - Silvia Sterzi
- Physical Medicine and Rehabilitation Unit, Campus Bio-Medico University Polyclinic Foundation, Rome, Italy
| | - Sofia Straudi
- Department of Neuroscience and Rehabilitation, Ferrara University Hospital, Ferrara, Italy
| | | | - Matteo Paci
- AUSL (Unique Sanitary Local Company) District of Central Tuscany, Florence, Italy
| | - Emanuela Casanova
- Unità Operativa di Medicina Riabilitativa e Neuroriabilitazione (SC), IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Dario Marino
- IRCCS Neurolysis Center “Bonino Pulejo”, Messina, Italy
| | | | - Daniele Giansanti
- National Center for Innovative Technologies in Public Health, Italian National Institute of Health, Rome, Italy
| | - Luca Perrero
- Neurorehabilitation Unit, Azienda Ospedaliera Nazionale SS. Antonio e Biagio e Cesare Arrigo, Alessandria, Italy
| | - Alberto Battistini
- Unità Operativa di Medicina Riabilitativa e Neuroriabilitazione (SC), IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Serena Filoni
- Padre Pio Onlus Rehabilitation Centers Foundation, San Giovanni Rotondo, Italy
| | - Monica Sicari
- A.O.U. Città della Salute e della Scienza di Torino, Turin, Italy
| | | | | | | | | | - Paolo Boldrini
- Società Italiana di Medicina Fisica e Riabilitativa (SIMFER), Rome, Italy
| | | | - Enrico Castelli
- Department of Paediatric Neurorehabilitation, IRCCS Bambino Gesù Children’s Hospital, Rome, Italy
| | - Francesco Draicchio
- Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, INAIL, Rome, Italy
| | - Vincenzo Falabella
- Italian Federation of Persons with Spinal Cord Injuries (Faip Onlus), Rome, Italy
| | | | - Francesca Gimigliano
- Department of Mental, Physical Health and Preventive Medicine, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Mauro Grigioni
- National Center for Innovative Technologies in Public Health, Italian National Institute of Health, Rome, Italy
| | - Stefano Mazzoleni
- Department of Electrical and Information Engineering, Politecnico di Bari, Bari, Italy
| | - Stefano Mazzon
- AULSS6 (Unique Sanitary Local Company) Euganea Padova – Distretto 4 “Alta Padovana”, Padua, Italy
| | - Franco Molteni
- Department of Rehabilitation Medicine, Villa Beretta Rehabilitation Center, Valduce Hospital, Lecco, Italy
| | - Maurizio Petrarca
- Movement Analysis and Robotics Laboratory (MARlab), IRCCS Bambino Gesù Children’s Hospital, Rome, Italy
| | - Alessandro Picelli
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Federico Posteraro
- Department of Rehabilitation, Versilia Hospital – AUSL12, Viareggio, Italy
| | - Michele Senatore
- Associazione Italiana dei Terapisti Occupazionali (AITO), Rome, Italy
| | | | | | | | | | - Irene Aprile
- IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
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15
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Marigi EM, Iturregui JM, Werthel JD, Sperling JW, Sanchez-Sotelo J, Schoch BS. Higher rates of mortality and perioperative complications in patients undergoing primary shoulder arthroplasty and a history of previous stroke. J Shoulder Elbow Surg 2022; 32:e216-e226. [PMID: 36375747 DOI: 10.1016/j.jse.2022.10.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2022] [Revised: 10/09/2022] [Accepted: 10/12/2022] [Indexed: 11/13/2022]
Abstract
BACKGROUND Cerebrovascular accidents (CVAs), or strokes, are the second most common cause of mortality and third most common cause of disability worldwide. Although advances in the treatment of strokes have improved survivorship following these events, there remains a limited understanding of the effect of a prior stroke and sequelae on patients undergoing shoulder arthroplasty (SA). This study aimed to determine the outcomes of patients with a history of stroke with sequela undergoing primary SA. METHODS Over a 30-year time period (1990-2020), 205 primary SAs (32 hemiarthroplasties [HAs], 56 anatomic total shoulder arthroplasties [aTSAs], and 117 reverse shoulder arthroplasties [RSAs]) were performed in patients who sustained a previous stroke with sequela and were followed for a minimum of 2 years. This cohort was matched (1:2) according to age, sex, body mass index, implant, and year of surgery with patients who had undergone HA or aTSA for osteoarthritis or RSA for cuff tear arthropathy. Mortality after primary SA was individually calculated through a cumulative incidence analysis. Implant survivorship was analyzed with a competing risk model selecting death as the competing risk. RESULTS The stroke cohort sustained 38 (18.5%) surgical and 42 (20.5%) medical perioperative complications. Compared with the control group, the stroke cohort demonstrated higher rates of any surgical complication (18.5% vs 10.7%; P = .007), instability (6.3 % vs 1.7%; P = .002), venous thromboembolism (3.4% vs 0.5%; P = .004), pulmonary embolus (2.0% vs 0%; P = .005), postoperative stroke (2.4% vs 0%; P = .004), respiratory failure (1.0% vs 0%; P = .045), any medical complication (20.5% vs 7.3%; P < .001), and 90-day readmission (16.6% vs 4.9%; P < .001). Additionally, RSA in the stroke cohort was associated with higher reoperation (8.5% vs 2.6%; P = .011) and revision rates (6.8% vs 1.7%; P = .013) compared with the matched cohort. Subsequent cumulative incidences of death at 1, 2, 5, 10, 15, and 20 years were 4.4% vs 3.4%, 10.7% vs 5.1%, 25.6% vs 14.7%, 51.6% vs 39.3%, 74.3% vs 58.6%, and 92.6% vs 58.6% between the stroke and matched cohorts, respectively (P < .001). CONCLUSIONS A preoperative diagnosis of a stroke in patients undergoing primary SA is associated with higher rates of perioperative complications and mortality when compared to a matched cohort. This information should be considered to counsel patients and surgeons to optimize care and help mitigate risks associated with the perioperative period.
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Affiliation(s)
- Erick M Marigi
- Department of Orthopedic Surgery, Mayo Clinic, Rochester, MN, USA
| | - Jose M Iturregui
- Department of Orthopedic Surgery, Mayo Clinic Florida, Jacksonville, FL, USA
| | - Jean-David Werthel
- Department of Orthopedic Surgery, Hopital Ambroise Paré, Boulogne-Billancourt, France
| | - John W Sperling
- Department of Orthopedic Surgery, Mayo Clinic, Rochester, MN, USA
| | | | - Bradley S Schoch
- Department of Orthopedic Surgery, Mayo Clinic Florida, Jacksonville, FL, USA.
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16
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Sheng W, Li S, Zhao J, Wang Y, Luo Z, Lo WLA, Ding M, Wang C, Li L. Upper Limbs Muscle Co-contraction Changes Correlated With the Impairment of the Corticospinal Tract in Stroke Survivors: Preliminary Evidence From Electromyography and Motor-Evoked Potential. Front Neurosci 2022; 16:886909. [PMID: 35720692 PMCID: PMC9198335 DOI: 10.3389/fnins.2022.886909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 04/25/2022] [Indexed: 11/29/2022] Open
Abstract
Objective Increased muscle co-contraction of the agonist and antagonist muscles during voluntary movement is commonly observed in the upper limbs of stroke survivors. Much remain to be understood about the underlying mechanism. The aim of the study is to investigate the correlation between increased muscle co-contraction and the function of the corticospinal tract (CST). Methods Nine stroke survivors and nine age-matched healthy individuals were recruited. All the participants were instructed to perform isometric maximal voluntary contraction (MVC) and horizontal task which consist of sponge grasp, horizontal transportation, and sponge release. We recorded electromyography (EMG) activities from four muscle groups during the MVC test and horizontal task in the upper limbs of stroke survivors. The muscle groups consist of extensor digitorum (ED), flexor digitorum (FD), triceps brachii (TRI), and biceps brachii (BIC). The root mean square (RMS) of EMG was applied to assess the muscle activation during horizontal task. We adopted a co-contraction index (CI) to evaluate the degree of muscle co-contraction. CST function was evaluated by the motor-evoked potential (MEP) parameters, including resting motor threshold, amplitude, latency, and central motor conduction time. We employed correlation analysis to probe the association between CI and MEP parameters. Results The RMS, CI, and MEP parameters on the affected side showed significant difference compared with the unaffected side of stroke survivors and the healthy group. The result of correlation analysis showed that CI was significantly correlated with MEP parameters in stroke survivors. Conclusion There existed increased muscle co-contraction and impairment in CST functionality on the affected side of stroke survivors. The increased muscle co-contraction was correlated with the impairment of the CST. Intervention that could improve the excitability of the CST may contribute to the recovery of muscle discoordination in the upper limbs of stroke survivors.
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Affiliation(s)
- Wenfei Sheng
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Shijue Li
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Jiangli Zhao
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Yujia Wang
- Faculty of Science and Technology, University of Macau, Taipa, Macao SAR, China
| | - Zichong Luo
- Faculty of Science and Technology, University of Macau, Taipa, Macao SAR, China
| | - Wai Leung Ambrose Lo
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Minghui Ding
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Chuhuai Wang
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Le Li
- Institute of Medical Research, Northwestern Polytechnical University, Xi'an, China
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17
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Munoz-Novoa M, Kristoffersen MB, Sunnerhagen KS, Naber A, Alt Murphy M, Ortiz-Catalan M. Upper Limb Stroke Rehabilitation Using Surface Electromyography: A Systematic Review and Meta-Analysis. Front Hum Neurosci 2022; 16:897870. [PMID: 35669202 PMCID: PMC9163806 DOI: 10.3389/fnhum.2022.897870] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 04/25/2022] [Indexed: 11/17/2022] Open
Abstract
Background Upper limb impairment is common after stroke, and many will not regain full upper limb function. Different technologies based on surface electromyography (sEMG) have been used in stroke rehabilitation, but there is no collated evidence on the different sEMG-driven interventions and their effect on upper limb function in people with stroke. Aim Synthesize existing evidence and perform a meta-analysis on the effect of different types of sEMG-driven interventions on upper limb function in people with stroke. Methods PubMed, SCOPUS, and PEDro databases were systematically searched for eligible randomized clinical trials that utilize sEMG-driven interventions to improve upper limb function assessed by Fugl-Meyer Assessment (FMA-UE) in stroke. The PEDro scale was used to evaluate the methodological quality and the risk of bias of the included studies. In addition, a meta-analysis utilizing a random effect model was performed for studies comparing sEMG interventions to non-sEMG interventions and for studies comparing different sEMG interventions protocols. Results Twenty-four studies comprising 808 participants were included in this review. The methodological quality was good to fair. The meta-analysis showed no differences in the total effect, assessed by total FMA-UE score, comparing sEMG interventions to non-sEMG interventions (14 studies, 509 participants, SMD 0.14, P 0.37, 95% CI –0.18 to 0.46, I2 55%). Similarly, no difference in the overall effect was found for the meta-analysis comparing different types of sEMG interventions (7 studies, 213 participants, SMD 0.42, P 0.23, 95% CI –0.34 to 1.18, I2 73%). Twenty out of the twenty-four studies, including participants with varying impairment levels at all stages of stroke recovery, reported statistically significant improvements in upper limb function at post-sEMG intervention compared to baseline. Conclusion This review and meta-analysis could not discern the effect of sEMG in comparison to a non-sEMG intervention or the most effective type of sEMG intervention for improving upper limb function in stroke populations. Current evidence suggests that sEMG is a promising tool to further improve functional recovery, but randomized clinical trials with larger sample sizes are needed to verify whether the effect on upper extremity function of a specific sEMG intervention is superior compared to other non-sEMG or other type of sEMG interventions.
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Affiliation(s)
- Maria Munoz-Novoa
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Center for Bionics and Pain Research, Mölndal, Sweden
| | - Morten B Kristoffersen
- Center for Bionics and Pain Research, Mölndal, Sweden.,Department of Orthopaedics, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
| | - Katharina S Sunnerhagen
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Section of Neurocare, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Autumn Naber
- Center for Bionics and Pain Research, Mölndal, Sweden
| | - Margit Alt Murphy
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Department of Occupational Therapy and Physiotherapy, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Max Ortiz-Catalan
- Center for Bionics and Pain Research, Mölndal, Sweden.,Department of Orthopaedics, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden.,Operational Area 3, Sahlgrenska University Hospital, Mölndal, Sweden.,Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden
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18
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Jiang YC, Ma R, Qi S, Ge S, Sun Z, Li Y, Song J, Zhang M. Characterization of Bimanual Cyclical Tasks from Single-trial EEG-fNIRS Measurements. IEEE Trans Neural Syst Rehabil Eng 2022; 30:146-156. [PMID: 35041608 DOI: 10.1109/tnsre.2022.3144216] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Robot-assisted bimanual training is promising to improve motor function and cortical reorganization for hemiparetic stroke patients. Closing the rehabilitation training loop with neurofeedback can help refine training protocols in time for better engagements and outcomes. However, due to the low signal-to- noise ratio (SNR) and non-stationary properties of neural signals, reliable characterization of bimanual training-induced neural activities from single-trial measurement is challenging. In this study, ten human participants were recruited conducting robot-assisted bimanual cyclical tasks (in-phase, 90° out-of-phase, and anti-phase) when concurrent electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) were recorded. A unified EEG-fNIRS bimodal signal processing framework was proposed to characterize neural activities induced by three types of bimanual cyclical tasks. In this framework, novel artifact removal methods were used to improve the SNR and the task-related component analysis (TRCA) was introduced to increase the reproducibility of EEG-fNIRS bimodal features. The optimized features were transformed into low-dimensional indicators to reliably characterize bimanual training-induced neural activation. The SVM classification results of three bimanual cyclical tasks revealed a good discrimination ability of EEG-fNIRS bimodal indicators (90.1%), which was higher than that using EEG (74.8%) or fNIRS (82.2%) alone, supporting the proposed method as a feasible technique to characterize neural activities during robot-assisted bimanual training.
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19
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Neuromuscular Stimulation as an Intervention Tool for Recovery from Upper Limb Paresis after Stroke and the Neural Basis. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12020810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Neuromodulators at the periphery, such as neuromuscular electrical stimulation (NMES), have been developed as add-on tools to regain upper extremity (UE) paresis after stroke, but this recovery has often been limited. To overcome these limits, novel strategies to enhance neural reorganization and functional recovery are needed. This review aims to discuss possible strategies for enhancing the benefits of NMES. To date, NMES studies have involved some therapeutic concerns that have been addressed under various conditions, such as the time of post-stroke and stroke severity and/or with heterogeneous stimulation parameters, such as target muscles, doses or durations of treatment and outcome measures. We began by identifying factors sensitive to NMES benefits among heterogeneous conditions and parameters, based on the “progress rate (PR)”, defined as the gains in UE function scores per intervention duration. Our analysis disclosed that the benefits might be affected by the target muscles, stroke severity and time period after stroke. Likewise, repetitive peripheral neuromuscular magnetic stimulation (rPMS) is expected to facilitate motor recovery, as already demonstrated by a successful study. In parallel, our efforts should be devoted to further understanding the precise neural mechanism of how neuromodulators make UE function recovery occur, thereby leading to overcoming the limits. In this study, we discuss the possible neural mechanisms.
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Jeong JW, Lee W, Kim YJ. A Real-Time Wearable Physiological Monitoring System for Home-Based Healthcare Applications. SENSORS 2021; 22:s22010104. [PMID: 35009644 PMCID: PMC8747365 DOI: 10.3390/s22010104] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 12/21/2021] [Accepted: 12/22/2021] [Indexed: 12/12/2022]
Abstract
The acquisition of physiological data are essential to efficiently predict and treat cardiac patients before a heart attack occurs and effectively expedite motor recovery after a stroke. This goal can be achieved by using wearable wireless sensor network platforms for real-time healthcare monitoring. In this paper, we present a wireless physiological signal acquisition device and a smartphone-based software platform for real-time data processing and monitor and cloud server access for everyday ECG/EMG signal monitoring. The device is implemented in a compact size (diameter: 30 mm, thickness: 4.5 mm) where the biopotential is measured and wirelessly transmitted to a smartphone or a laptop for real-time monitoring, data recording and analysis. Adaptive digital filtering is applied to eliminate any interference noise that can occur during a regular at-home environment, while minimizing the data process time. The accuracy of ECG and EMG signal coverage is assessed using Bland–Altman analysis by comparing with a reference physiological signal acquisition instrument (RHS2116 Stim/Recording System, Intan). Signal coverage of R-R peak intervals showed almost identical outcome between this proposed work and the RHS2116, showing a mean difference in heart rate of 0.15 ± 4.65 bpm and a Wilcoxon’s p value of 0.133. A 24 h continuous recording session of ECG and EMG is conducted to demonstrate the robustness and stability of the device based on extended time wearability on a daily routine.
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Affiliation(s)
- Jin-Woo Jeong
- Department of Electronic Engineering, Gachon University, Seongnam 13120, Korea;
| | - Woochan Lee
- Department of Electrical Engineering, Incheon National University, Incheon 22012, Korea
- Correspondence: (W.L.); (Y.-J.K.)
| | - Young-Joon Kim
- Department of Electronic Engineering, Gachon University, Seongnam 13120, Korea;
- Correspondence: (W.L.); (Y.-J.K.)
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Nam C, Zhang B, Chow T, Ye F, Huang Y, Guo Z, Li W, Rong W, Hu X, Poon W. Home-based self-help telerehabilitation of the upper limb assisted by an electromyography-driven wrist/hand exoneuromusculoskeleton after stroke. J Neuroeng Rehabil 2021; 18:137. [PMID: 34526058 PMCID: PMC8442816 DOI: 10.1186/s12984-021-00930-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2021] [Accepted: 08/31/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Most stroke survivors have sustained upper limb impairment in their distal joints. An electromyography (EMG)-driven wrist/hand exoneuromusculoskeleton (WH-ENMS) was developed previously. The present study investigated the feasibility of a home-based self-help telerehabilitation program assisted by the aforementioned EMG-driven WH-ENMS and its rehabilitation effects after stroke. METHODS Persons with chronic stroke (n = 11) were recruited in a single-group trial. The training progress, including the training frequency and duration, was telemonitored. The clinical outcomes were evaluated using the Fugl-Meyer Assessment (FMA), Action Research Arm Test (ARAT), Wolf Motor Function Test (WMFT), Motor Functional Independence Measure (FIM), and Modified Ashworth Scale (MAS). Improvement in muscle coordination was investigated in terms of the EMG activation level and the Co-contraction Index (CI) of the target muscles, including the abductor pollicis brevis (APB), flexor carpi radialis-flexor digitorum (FCR-FD), extensor carpi ulnaris-extensor digitorum (ECU-ED), biceps brachii (BIC), and triceps brachii (TRI). The movement smoothness and compensatory trunk movement were evaluated in terms of the following two kinematic parameters: number of movement units (NMUs) and maximal trunk displacement (MTD). The above evaluations were conducted before and after the training. RESULTS All of the participants completed the home-based program with an intensity of 63.0 ± 1.90 (mean ± SD) min/session and 3.73 ± 0.75 (mean ± SD) sessions/week. After the training, motor improvements in the entire upper limb were found, as indicated by the significant improvements (P < 0.05) in the FMA, ARAT, WMFT, and MAS; significant decreases (P < 0.05) in the EMG activation levels of the APB and FCR-FD; significant decreases (P < 0.05) in the CI of the ECU-ED/FCR-FD, ECU-ED/BIC, FCR-FD/APB, FCR-FD/BIC, FCR-FD/TRI, APB/BIC and BIC/TRI muscle pairs; and significant reductions (P < 0.05) in the NMUs and MTD. CONCLUSIONS The results suggested that the home-based self-help telerehabilitation program assisted by EMG-driven WH-ENMS is feasible and effective for improving the motor function of the paretic upper limb after stroke. Trial registration ClinicalTrials.gov. NCT03752775; Date of registration: November 20, 2018.
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Affiliation(s)
- Chingyi Nam
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China
| | - Bingbing Zhang
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China
| | - Tszying Chow
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China
| | - Fuqiang Ye
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China
| | - Yanhuan Huang
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China
| | - Ziqi Guo
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China
| | - Waiming Li
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China
| | - Wei Rong
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China
| | - Xiaoling Hu
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China. .,The Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen, 518034, China.
| | - Waisang Poon
- Department of Surgery, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China
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Ye F, Yang B, Nam C, Xie Y, Chen F, Hu X. A Data-Driven Investigation on Surface Electromyography Based Clinical Assessment in Chronic Stroke. Front Neurorobot 2021; 15:648855. [PMID: 34335219 PMCID: PMC8320436 DOI: 10.3389/fnbot.2021.648855] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2021] [Accepted: 06/14/2021] [Indexed: 12/23/2022] Open
Abstract
Background: Surface electromyography (sEMG) based robot-assisted rehabilitation systems have been adopted for chronic stroke survivors to regain upper limb motor function. However, the evaluation of rehabilitation effects during robot-assisted intervention relies on traditional manual assessments. This study aimed to develop a novel sEMG data-driven model for automated assessment. Method: A data-driven model based on a three-layer backpropagation neural network (BPNN) was constructed to map sEMG data to two widely used clinical scales, i.e., the Fugl-Meyer Assessment (FMA) and the Modified Ashworth Scale (MAS). Twenty-nine stroke participants were recruited in a 20-session sEMG-driven robot-assisted upper limb rehabilitation, which consisted of hand reaching and withdrawing tasks. The sEMG signals from four muscles in the paretic upper limbs, i.e., biceps brachii (BIC), triceps brachii (TRI), flexor digitorum (FD), and extensor digitorum (ED), were recorded before and after the intervention. Meanwhile, the corresponding clinical scales of FMA and MAS were measured manually by a blinded assessor. The sEMG features including Mean Absolute Value (MAV), Zero Crossing (ZC), Slope Sign Change (SSC), Root Mean Square (RMS), and Wavelength (WL) were adopted as the inputs to the data-driven model. The mapped clinical scores from the data-driven model were compared with the manual scores by Pearson correlation. Results: The BPNN, with 15 nodes in the hidden layer and sEMG features, i.e., MAV, ZC, SSC, and RMS, as the inputs to the model, was established to achieve the best mapping performance with significant correlations (r > 0.9, P < 0.001), according to the FMA. Significant correlations were also obtained between the mapped and manual FMA subscores, i.e., FMA-wrist/hand and FMA-shoulder/elbow, before and after the intervention (r > 0.9, P < 0.001). Significant correlations (P < 0.001) between the mapped and manual scores of MASs were achieved, with the correlation coefficients r = 0.91 at the fingers, 0.88 at the wrist, and 0.91 at the elbow after the intervention. Conclusion: An sEMG data-driven BPNN model was successfully developed. It could evaluate upper limb motor functions in chronic stroke and have potential application in automated assessment in post-stroke rehabilitation, once validated with large sample sizes. Clinical Trial Registration: www.ClinicalTrials.gov, identifier: NCT02117089.
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Affiliation(s)
- Fuqiang Ye
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China
- Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China
| | - Bibo Yang
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China
| | - Chingyi Nam
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China
| | - Yunong Xie
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China
| | - Fei Chen
- Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China
| | - Xiaoling Hu
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China
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Rong J, Ding L, Xiong L, Zhang W, Wang W, Deng M, Wang Y, Chen Z, Jia J. Mirror Visual Feedback Prior to Robot-Assisted Training Facilitates Rehabilitation After Stroke: A Randomized Controlled Study. Front Neurol 2021; 12:683703. [PMID: 34305792 PMCID: PMC8297738 DOI: 10.3389/fneur.2021.683703] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Accepted: 06/07/2021] [Indexed: 11/13/2022] Open
Abstract
Purpose: Robot-assisted training has been widely used in neurorehabilitation, but its effect on facilitating recovery after stroke remains controversial. One possible reason might be lacking consideration of the role of embodiment in robotic systems. Mirror visual feedback is an ideal method to approach embodiment. Thus, we hypothesized that mirror visual feedback priming with subsequent robot-assisted training might provide additional treatment benefits in rehabilitation. Method: This is a prospective, assessor-blinded, randomized, controlled study. Forty subacute stroke patients were randomly assigned into an experimental group (N = 20) or a control group (N = 20). They received either mirror visual feedback or sham-mirror visual feedback prior to robot-assisted training for 1.5 h/day, 5 days/week for 4 weeks. Before and after intervention, the Fugl-Meyer Assessment Upper Limb subscale, the Functional Independence Measure, the modified Barthel Index, and grip strength were measured. Scores of four specified games were recorded pre and post one-time mirror visual feedback priming before intervention in the experimental group. Results: All measurements improved significantly in both groups following interventions. Moreover, the Fugl-Meyer Assessment Upper Limb subscale, self-care subscale of the Functional Independence Measure, and the grip strength were improved significantly in the experimental group after a 4-week intervention, compared with the control group. Significantly higher scores of two games were revealed after one-time priming. Conclusions: Mirror visual feedback prior to robot-assisted training could prompt motor recovery, increase ability of self-care, and potentially enhance grip strength in stroke patients, compared to control treatment. Moreover, mirror visual feedback priming might have the capability to improve the patient's performance and engagement during robot-assisted training, which could prompt the design and development of robotic systems. Clinical Trial Registration: www.ClinicalTrials.gov, identifier: ChiCTR1900023356.
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Affiliation(s)
- Jifeng Rong
- The Center of Rehabilitation Therapy, The First Rehabilitation Hospital of Shanghai, Shanghai, China
| | - Li Ding
- The Department of Rehabilitation Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Li Xiong
- The Center of Rehabilitation Therapy, The First Rehabilitation Hospital of Shanghai, Shanghai, China
| | - Wen Zhang
- The Center of Rehabilitation Therapy, The First Rehabilitation Hospital of Shanghai, Shanghai, China
| | - Weining Wang
- The Center of Rehabilitation Therapy, The First Rehabilitation Hospital of Shanghai, Shanghai, China
| | - Meikui Deng
- The Center of Rehabilitation Therapy, The First Rehabilitation Hospital of Shanghai, Shanghai, China
| | - Yana Wang
- The Center of Rehabilitation Therapy, The First Rehabilitation Hospital of Shanghai, Shanghai, China
| | - Zhen Chen
- The Neurorehabilitation Centre, The First Rehabilitation Hospital of Shanghai, Shanghai, China
| | - Jie Jia
- The Department of Rehabilitation Medicine, Huashan Hospital, Fudan University, Shanghai, China.,The National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
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Zhou Y, Chen C, Cheng M, Alshahrani Y, Franovic S, Lau E, Xu G, Ni G, Cavanaugh JM, Muh S, Lemos S. Comparison of machine learning methods in sEMG signal processing for shoulder motion recognition. Biomed Signal Process Control 2021. [DOI: 10.1016/j.bspc.2021.102577] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
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Singh N, Saini M, Kumar N, Srivastava MVP, Mehndiratta A. Evidence of neuroplasticity with robotic hand exoskeleton for post-stroke rehabilitation: a randomized controlled trial. J Neuroeng Rehabil 2021; 18:76. [PMID: 33957937 PMCID: PMC8101163 DOI: 10.1186/s12984-021-00867-7] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Accepted: 04/20/2021] [Indexed: 01/09/2023] Open
Abstract
Background A novel electromechanical robotic-exoskeleton was designed in-house for the rehabilitation of wrist joint and Metacarpophalangeal (MCP) joint. Objective The objective was to compare the rehabilitation effectiveness (clinical-scales and neurophysiological-measures) of robotic-therapy training sessions with dose-matched conventional therapy in patients with stroke. Methods A pilot prospective parallel randomized controlled study at clinical settings was designed for patients with stroke within 2 years of chronicity. Patients were randomly assigned to receive an intervention of 20 sessions of 45 min each, five days a week for four weeks, in Robotic-therapy Group (RG) (n = 12) and conventional upper-limb rehabilitation in Control-Group (CG) (n = 11). We intended to evaluate the effects of a novel exoskeleton based therapy on the functional rehabilitation outcomes of upper-limb and cortical-excitability in patients with stroke as compared to the conventional-rehabilitation. Clinical-scales– Modified Ashworth Scale, Active Range of Motion, Barthel-Index, Brunnstrom-stage and Fugl-Meyer (FM) scale and neurophysiological measures of cortical-excitability (using Transcranial Magnetic Stimulation) –Motor Evoked Potential and Resting Motor threshold, were acquired pre- and post-therapy. Results No side effects were noticed in any of the patients. Both RG and CG showed significant (p < 0.05) improvement in all clinical motor-outcomes except Modified Ashworth Scale in CG. RG showed significantly (p < 0.05) higher improvement over CG in Modified Ashworth Scale, Active Range of Motion and Fugl-Meyer scale and FM Wrist-/Hand component. An increase in cortical-excitability in ipsilesional-hemisphere was found to be statistically significant (p < 0.05) in RG over CG, as indexed by a decrease in Resting Motor Threshold and increase in the amplitude of Motor Evoked Potential. No significant changes were shown by the contralesional-hemisphere. Interhemispheric RMT-asymmetry evidenced significant (p < 0.05) changes in RG over CG indicating increased cortical-excitability in ipsilesional-hemisphere along with interhemispheric changes. Conclusion Robotic-exoskeleton training showed improvement in motor outcomes and cortical-excitability in patients with stroke. Neurophysiological changes in RG could most likely be a consequence of plastic reorganization and use-dependent plasticity. Trial registry number: ISRCTN95291802 Supplementary Information The online version contains supplementary material available at 10.1186/s12984-021-00867-7.
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Affiliation(s)
- Neha Singh
- Centre for Biomedical Engineering, Indian Institute of Technology (IIT), New Delhi, India
| | - Megha Saini
- Centre for Biomedical Engineering, Indian Institute of Technology (IIT), New Delhi, India
| | - Nand Kumar
- Department of Psychiatry, All Indian Institute of Medical Sciences (AIIMS), New Delhi, India
| | - M V Padma Srivastava
- Department of Neurology, All India Institute of Medical Sciences (AIIMS), New Delhi, India
| | - Amit Mehndiratta
- Centre for Biomedical Engineering, Indian Institute of Technology (IIT), New Delhi, India. .,Department of Biomedical Engineering, All India Institute of Medical Sciences (AIIMS), New Delhi, India.
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Ambrosini E, Gasperini G, Zajc J, Immick N, Augsten A, Rossini M, Ballarati R, Russold M, Ferrante S, Ferrigno G, Bulgheroni M, Baccinelli W, Schauer T, Wiesener C, Gfoehler M, Puchinger M, Weber M, Weber S, Pedrocchi A, Molteni F, Krakow K. A Robotic System with EMG-Triggered Functional Eletrical Stimulation for Restoring Arm Functions in Stroke Survivors. Neurorehabil Neural Repair 2021; 35:334-345. [PMID: 33655789 DOI: 10.1177/1545968321997769] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Robotic systems combined with Functional Electrical Stimulation (FES) showed promising results on upper-limb motor recovery after stroke, but adequately-sized randomized controlled trials (RCTs) are still missing. OBJECTIVE To evaluate whether arm training supported by RETRAINER, a passive exoskeleton integrated with electromyograph-triggered functional electrical stimulation, is superior to advanced conventional therapy (ACT) of equal intensity in the recovery of arm functions, dexterity, strength, activities of daily living, and quality of life after stroke. METHODS A single-blind RCT recruiting 72 patients was conducted. Patients, randomly allocated to 2 groups, were trained for 9 weeks, 3 times per week: the experimental group performed task-oriented exercises assisted by RETRAINER for 30 minutes plus ACT (60 minutes), whereas the control group performed only ACT (90 minutes). Patients were assessed before, soon after, and 1 month after the end of the intervention. Outcome measures were as follows: Action Research Arm Test (ARAT), Motricity Index, Motor Activity Log, Box and Blocks Test (BBT), Stroke Specific Quality of Life Scale (SSQoL), and Muscle Research Council. RESULTS All outcomes but SSQoL significantly improved over time in both groups (P < .001); a significant interaction effect in favor of the experimental group was found for ARAT and BBT. ARAT showed a between-group change of 11.5 points (P = .010) at the end of the intervention, which increased to 13.6 points 1 month after. Patients considered RETRAINER moderately usable (System Usability Score of 61.5 ± 22.8). CONCLUSIONS Hybrid robotic systems, allowing to perform personalized, intensive, and task-oriented training, with an enriched sensory feedback, was superior to ACT in improving arm functions and dexterity after stroke.
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Affiliation(s)
| | | | | | - Nancy Immick
- Asklepios Neurologische Klinik Falkenstein, Königstein, Germany
| | - Andreas Augsten
- Asklepios Neurologische Klinik Falkenstein, Königstein, Germany
| | - Mauro Rossini
- Villa Beretta Rehabilitation Center, Costamasnaga, Italy
| | | | | | | | | | | | | | | | | | | | | | | | | | | | - Franco Molteni
- Villa Beretta Rehabilitation Center, Costamasnaga, Italy
| | - Karsten Krakow
- Asklepios Neurologische Klinik Falkenstein, Königstein, Germany
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Nam C, Rong W, Li W, Cheung C, Ngai W, Cheung T, Pang M, Li L, Hu J, Wai H, Hu X. An Exoneuromusculoskeleton for Self-Help Upper Limb Rehabilitation After Stroke. Soft Robot 2020; 9:14-35. [PMID: 33271057 PMCID: PMC8885439 DOI: 10.1089/soro.2020.0090] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
Abstract
This article presents a novel electromyography (EMG)-driven exoneuromusculoskeleton that integrates the neuromuscular electrical stimulation (NMES), soft pneumatic muscle, and exoskeleton techniques, for self-help upper limb training after stroke. The developed system can assist the elbow, wrist, and fingers to perform sequential arm reaching and withdrawing tasks under voluntary effort control through EMG, with a lightweight, compact, and low-power requirement design. The pressure/torque transmission properties of the designed musculoskeletons were quantified, and the assistive capability of the developed system was evaluated on patients with chronic stroke (n = 10). The designed musculoskeletons exerted sufficient mechanical torque to support joint extension for stroke survivors. Compared with the limb performance when no assistance was provided, the limb performance (measured as the range of motion in joint extension) significantly improved when mechanical torque and NMES were provided (p < 0.05). A pilot trial was conducted on patients with chronic stroke (n = 15) to investigate the feasibility of using the developed system in self-help training and the rehabilitation effects of the system. All the participants completed the self-help device-assisted training with minimal professional assistance. After a 20-session training, significant improvements were noted in the voluntary motor function and release of muscle spasticity at the elbow, wrist, and fingers, as indicated by the clinical scores (p < 0.05). The EMG parameters (p < 0.05) indicated that the muscular coordination of the entire upper limb improved significantly after training. The results suggested that the developed system can effectively support self-help upper limb rehabilitation after stroke. ClinicalTrials.gov Register Number NCT03752775.
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Affiliation(s)
- Chingyi Nam
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China
| | - Wei Rong
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China
| | - Waiming Li
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China
| | - Chingyee Cheung
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China
| | - Wingkit Ngai
- Industrial Centre, The Hong Kong Polytechnic University, Hong Kong, China
| | - Tszching Cheung
- Industrial Centre, The Hong Kong Polytechnic University, Hong Kong, China
| | - Mankit Pang
- Industrial Centre, The Hong Kong Polytechnic University, Hong Kong, China
| | - Li Li
- Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hong Kong, China
| | - Junyan Hu
- Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hong Kong, China
| | - Honwah Wai
- Industrial Centre, The Hong Kong Polytechnic University, Hong Kong, China
| | - Xiaoling Hu
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China
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Pilla A, Trigili E, McKinney Z, Fanciullacci C, Malasoma C, Posteraro F, Crea S, Vitiello N. Robotic Rehabilitation and Multimodal Instrumented Assessment of Post-stroke Elbow Motor Functions-A Randomized Controlled Trial Protocol. Front Neurol 2020; 11:587293. [PMID: 33193052 PMCID: PMC7643017 DOI: 10.3389/fneur.2020.587293] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2020] [Accepted: 09/22/2020] [Indexed: 12/03/2022] Open
Abstract
Background: The reliable assessment, attribution, and alleviation of upper-limb joint stiffness are essential clinical objectives in the early rehabilitation from stroke and other neurological disorders, to prevent the progression of neuromuscular pathology and enable proactive physiotherapy toward functional recovery. However, the current clinical evaluation and treatment of this stiffness (and underlying muscle spasticity) are severely limited by their dependence on subjective evaluation and manual limb mobilization, thus rendering the evaluation imprecise and the treatment insufficiently tailored to the specific pathologies and residual capabilities of individual patients. Methods: To address these needs, the proposed clinical trial will employ the NEUROExos Elbow Module (NEEM), an active robotic exoskeleton, for the passive mobilization and active training of elbow flexion and extension in 60 sub-acute and chronic stroke patients with motor impairments (hemiparesis and/or spasticity) of the right arm. The study protocol is a randomized controlled trial consisting of a 4-week functional rehabilitation program, with both clinical and robotically instrumented assessments to be conducted at baseline and post-treatment. The primary outcome measures will be a set of standard clinical scales for upper limb spasticity and motor function assessment, including the Modified Ashworth Scale and Fugl-Meyer Index, to confirm the safety and evaluate the efficacy of robotic rehabilitation in reducing elbow stiffness and improving function. Secondary outcomes will include biomechanical, muscular activity, and motor performance parameters extracted from instrumented assessments using the NEEM along with synchronous EMG recordings. Conclusions: This randomized controlled trial aims to validate an innovative instrumented methodology for clinical spasticity assessment and functional rehabilitation, relying on the precision and accuracy of an elbow exoskeleton combined with EMG recordings and the expertise of a physiotherapist, thus complementing and maximizing the benefits of both practices. Clinical Trial Registration:www.ClinicalTrials.gov, identifier NCT04484571.
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Affiliation(s)
- Alessandro Pilla
- The BioRobotics Institute, Scuola Superiore Sant'Anna, Pontedera, Italy
| | - Emilio Trigili
- The BioRobotics Institute, Scuola Superiore Sant'Anna, Pontedera, Italy
| | - Zach McKinney
- The BioRobotics Institute, Scuola Superiore Sant'Anna, Pontedera, Italy
| | | | - Chiara Malasoma
- Rehabilitation Department, Versilia Hospital, USL Nord Ovest Toscana (AUSLTNO), Lido di Camaiore (LU), Italy
| | - Federico Posteraro
- Rehabilitation Department, Versilia Hospital, USL Nord Ovest Toscana (AUSLTNO), Lido di Camaiore (LU), Italy
| | - Simona Crea
- The BioRobotics Institute, Scuola Superiore Sant'Anna, Pontedera, Italy.,IRCCS Fondazione Don Carlo Gnocchi, Firenze, Italy.,Department of Excellence in Robotics & AI, Scuola Superiore Sant'Anna, Piazza Martiri della Libertà, Pisa, Italy
| | - Nicola Vitiello
- The BioRobotics Institute, Scuola Superiore Sant'Anna, Pontedera, Italy.,IRCCS Fondazione Don Carlo Gnocchi, Firenze, Italy.,Department of Excellence in Robotics & AI, Scuola Superiore Sant'Anna, Piazza Martiri della Libertà, Pisa, Italy
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29
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Chou CH, Wang T, Sun X, Niu CM, Hao M, Xie Q, Lan N. Automated functional electrical stimulation training system for upper-limb function recovery in poststroke patients. Med Eng Phys 2020; 84:174-183. [PMID: 32977916 DOI: 10.1016/j.medengphy.2020.09.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Revised: 08/24/2020] [Accepted: 09/02/2020] [Indexed: 11/24/2022]
Abstract
BACKGROUND This paper describes the design and test of an automated functional electrical stimulation (FES) system for poststroke rehabilitation training. The aim of automated FES is to synchronize electrically induced movements to assist residual movements of patients. METHODS In the design of the FES system, an accelerometry module detected movement initiation and movement performed by post-stroke patients. The desired movement was displayed in visual game module. Synergy-based FES patterns were formulated using a normal pattern of muscle synergies from a healthy subject. Experiment 1 evaluated how different levels of trigger threshold or timing affected the variability of compound movements for forward reaching (FR) and lateral reaching (LR). Experiment 2 explored the effect of FES duration on compound movements. RESULTS Synchronizing FES-assisted movements with residual voluntary movements produced more consistent compound movements. Matching the duration of synergy-based FES to that of patients could assist slower movements of patients with reduced RMS errors. CONCLUSIONS Evidence indicated that synchronization and matching duration with residual voluntary movements of patients could improve the consistency of FES assisted movements. Automated FES training can reduce the burden of therapists to monitor the training process, which may encourage patients to complete the training.
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Affiliation(s)
- Chih-Hong Chou
- Laboratory of Neurorehabilitaiton Engineering, School of Biomedical Engineering, Shanghai Jiao Tong University, China
| | - Tong Wang
- Laboratory of Neurorehabilitaiton Engineering, School of Biomedical Engineering, Shanghai Jiao Tong University, China
| | - Xiaopei Sun
- Department of Rehabilitation Medicine, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Chuanxin M Niu
- Laboratory of Neurorehabilitaiton Engineering, School of Biomedical Engineering, Shanghai Jiao Tong University, China; Department of Rehabilitation Medicine, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Manzhao Hao
- Laboratory of Neurorehabilitaiton Engineering, School of Biomedical Engineering, Shanghai Jiao Tong University, China
| | - Qing Xie
- Department of Rehabilitation Medicine, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
| | - Ning Lan
- Laboratory of Neurorehabilitaiton Engineering, School of Biomedical Engineering, Shanghai Jiao Tong University, China.
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Guo Z, Qian Q, Wong K, Zhu H, Huang Y, Hu X, Zheng Y. Altered Corticomuscular Coherence (CMCoh) Pattern in the Upper Limb During Finger Movements After Stroke. Front Neurol 2020; 11:410. [PMID: 32477257 PMCID: PMC7240065 DOI: 10.3389/fneur.2020.00410] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Accepted: 04/20/2020] [Indexed: 01/15/2023] Open
Abstract
Background: Proximal compensation to the distal movements is commonly observed in the affected upper extremity (UE) of patients with chronic stroke. However, the cortical origin of this compensation has not been well-understood. In this study, corticomuscular coherence (CMCoh) and electromyography (EMG) analysis were adopted to investigate the corticomuscular coordinating pattern of proximal UE compensatory activities when conducting distal UE movements in chronic stroke. Method: Fourteen chronic stroke subjects and 10 age-matched unimpaired controls conducted isometric finger extensions and flexions at 20 and 40% of maximal voluntary contractions. Electroencephalogram (EEG) data were recorded from the sensorimotor area and EMG signals were captured from extensor digitorum (ED), flexor digitorum (FD), triceps brachii (TRI), and biceps brachii (BIC) to investigate the CMCoh peak values in the Beta band. EMG parameters, i.e., the EMG activation level and co-contraction index (CI), were analyzed to evaluate the compensatory muscular patterns in the upper limb. Result: The peak CMCoh with statistical significance (P < 0.05) was found shifted from the ipsilesional side to the contralesional side in the proximal UE muscles, while to the central regions in the distal UE muscle in chronic strokes. Significant differences (P < 0.05) were observed in both peak ED and FD CMCohs during finger extensions between the two groups. The unimpaired controls exhibited significant intragroup differences between 20 and 40% levels in extensions for peak ED and FD CMCohs (P < 0.05). The stroke subjects showed significant differences in peak TRI and BIC CMCohs (P < 0.01). No significant inter- or intra-group difference was observed in peak CMCoh during finger flexions. EMG parameters showed higher EMG activation levels in TRI and BIC muscles (P < 0.05), and higher CI values in the muscle pairs involving TRI and BIC during all the extension and flexion tasks in the stroke group than those in the control group (P < 0.05). Conclusion: The post-stroke proximal muscular compensations from the elbow to the finger movements were cortically originated, with the center mainly located in the contralesional hemisphere.
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Affiliation(s)
- Ziqi Guo
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong
| | - Qiuyang Qian
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong
| | - Kiufung Wong
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong
| | - Hanlin Zhu
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong
| | - Yanhuan Huang
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong
| | - Xiaoling Hu
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong
| | - Yongping Zheng
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong
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Foldes ST, Boninger ML, Weber DJ, Collinger JL. Effects of MEG-based neurofeedback for hand rehabilitation after tetraplegia: preliminary findings in cortical modulations and grip strength. J Neural Eng 2020; 17:026019. [PMID: 32135525 DOI: 10.1088/1741-2552/ab7cfb] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
OBJECTIVE Neurofeedback (NF) trains people to volitionally modulate their cortical activity to affect a behavioral outcome. We evaluated the feasibility of using NF to improve hand function after chronic cervical-level spinal cord injury (SCI) using biologically-relevant visual feedback of motor-related brain activity and an intuitive control scheme. APPROACH The NF system acquired magnetoencephalography (MEG) data in real-time to provide feedback of event-related desynchronization (ERD) measured over the sensorimotor cortex during attempted hand grasping. During brain control, stronger ERD resulting from attempted grasping drove the virtual hand towards a more closed grasp, while less ERD drove the hand more open. MAIN RESULTS Eight individuals with partial or complete hand impairment due to chronic SCI controlled the NF to perform a grasping task that increased in difficulty as the participants achieved success. During their first NF session, participants achieved an average success rate of 63.7 ± 6.4% (chance level of 13.9%). After as few as one intervention session, four of the seven individuals evaluated for ERD changes had significantly strengthened ERD and three of the four participants with measurable grip strength prior to NF had increased grip strength. Interestingly, both individuals who participated in a longer-term study (i.e. >8 NF sessions) had improved grip strength and significantly strengthened ERD. SIGNIFICANCE This study demonstrates that MEG-based NF training can change brain activity in individuals with hand impairment due to SCI and has the potential to induce acute changes in grip strength. Future studies will evaluate whether neuroplasticity induced with long term NF can improve hand function for those with moderate impairment.
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Affiliation(s)
- Stephen T Foldes
- VA Pittsburgh Healthcare System, Pittsburgh, PA, United States of America. Rehab Neural Engineering Labs, Departments of Physical Medicine and Rehabilitation and Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States of America. Center for the Neural Basis of Cognition, Pittsburgh, PA, United States of America. Barrow Neurological Institute, Phoenix Children's Hospital, Phoenix, AZ, United States of America
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A comparison of the rehabilitation effectiveness of neuromuscular electrical stimulation robotic hand training and pure robotic hand training after stroke: A randomized controlled trial. Biomed Signal Process Control 2020. [DOI: 10.1016/j.bspc.2019.101723] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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Mendes LA, Lima INDF, Souza T, do Nascimento GC, Resqueti VR, Fregonezi GAF. Motor neuroprosthesis for promoting recovery of function after stroke. Cochrane Database Syst Rev 2020; 1:CD012991. [PMID: 31935047 PMCID: PMC6984639 DOI: 10.1002/14651858.cd012991.pub2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
BACKGROUND Motor neuroprosthesis (MN) involves electrical stimulation of neural structures by miniaturized devices to allow the performance of tasks in the natural environment in which people live (home and community context), as an orthosis. In this way, daily use of these devices could act as an environmental facilitator for increasing the activities and participation of people with stroke. OBJECTIVES To assess the effects of MN for improving independence in activities of daily living (ADL), activities involving limbs, participation scales of health-related quality of life (HRQoL), exercise capacity, balance, and adverse events in people after stroke. SEARCH METHODS We searched the Cochrane Stroke Group Trials Register (searched 19 August 2019), the Cochrane Central Register of Controlled Trials (CENTRAL) (August 2019), MEDLINE (1946 to 16 August 2019), Embase (1980 to 19 August 2019), and five additional databases. We also searched trial registries, databases, and websites to identify additional relevant published, unpublished, and ongoing trials. SELECTION CRITERIA Randomized controlled trials (RCTs) and randomized controlled cross-over trials comparing MN for improving activities and participation versus other assistive technology device or MN without electrical stimulus (stimulator is turned off), or no treatment, for people after stroke. DATA COLLECTION AND ANALYSIS Two review authors independently selected trials, extracted data, and assessed risk of bias of the included studies. Any disagreements were resolved through discussion with a third review author. We contacted trialists for additional information when necessary and performed all analyses using Review Manager 5. We used GRADE to assess the certainty of the evidence. MAIN RESULTS We included four RCTs involving a total of 831 participants who were more than three months poststroke. All RCTs were of MN that applied electrical stimuli to the peroneal nerve. All studies included conditioning protocols to adapt participants to MN use, after which participants used MN from up to eight hours per day to all-day use for ambulation in daily activities performed in the home or community context. All studies compared the use of MN versus another assistive device (ankle-foot orthosis [AFO]). There was a high risk of bias for at least one assessed domain in three of the four included studies. No studies reported outcomes related to independence in ADL. There was low-certainty evidence that AFO was more beneficial than MN on activities involving limbs such as walking speed until six months of device use (mean difference (MD) -0.05 m/s, 95% confidence interval (CI) -0.10 to -0.00; P = 0.03; 605 participants; 2 studies; I2 = 0%; low-certainty evidence); however, this difference was no longer present in our sensitivity analysis (MD -0.07 m/s, 95% CI -0.16 to 0.02; P = 0.13; 110 participants; 1 study; I2 = 0%). There was low to moderate certainty that MN was no more beneficial than AFO on activities involving limbs such as walking speed between 6 and 12 months of device use (MD 0.00 m/s, 95% CI -0.05 to 0.05; P = 0.93; 713 participants; 3 studies; I2 = 17%; low-certainty evidence), Timed Up and Go (MD 0.51 s, 95% CI -4.41 to 5.43; P = 0.84; 692 participants; 2 studies; I2 = 0%; moderate-certainty evidence), and modified Emory Functional Ambulation Profile (MD 14.77 s, 95% CI -12.52 to 42.06; P = 0.29; 605 participants; 2 studies; I2 = 0%; low-certainty evidence). There was no significant difference in walking speed when MN was delivered with surface or implantable electrodes (test for subgroup differences P = 0.09; I2 = 65.1%). For our secondary outcomes, there was very low to moderate certainty that MN was no more beneficial than another assistive device for participation scales of HRQoL (standardized mean difference 0.26, 95% CI -0.22 to 0.74; P = 0.28; 632 participants; 3 studies; I2 = 77%; very low-certainty evidence), exercise capacity (MD -9.03 m, 95% CI -26.87 to 8.81; P = 0.32; 692 participants; 2 studies; I2 = 0%; low-certainty evidence), and balance (MD -0.34, 95% CI -1.96 to 1.28; P = 0.68; 692 participants; 2 studies; I2 = 0%; moderate-certainty evidence). Although there was low- to moderate-certainty evidence that the use of MN did not increase the number of serious adverse events related to intervention (risk ratio (RR) 0.35, 95% CI 0.04 to 3.33; P = 0.36; 692 participants; 2 studies; I2 = 0%; low-certainty evidence) or number of falls (RR 1.20, 95% CI 0.92 to 1.55; P = 0.08; 802 participants; 3 studies; I2 = 33%; moderate-certainty evidence), there was low-certainty evidence that the use of MN in people after stroke may increase the risk of participants dropping out during the intervention (RR 1.48, 95% CI 1.11 to 1.97; P = 0.007; 829 participants; 4 studies; I2 = 0%). AUTHORS' CONCLUSIONS Current evidence indicates that MN is no more beneficial than another assistive technology device for improving activities involving limbs measured by Timed Up and Go, balance (moderate-certainty evidence), activities involving limbs measured by walking speed and modified Emory Functional Ambulation Profile, exercise capacity (low-certainty evidence), and participation scale of HRQoL (very low-certainty evidence). Evidence was insufficient to estimate the effect of MN on independence in ADL. In comparison to other assistive devices, MN does not appear to increase the number of falls (moderate-certainty evidence) or serious adverse events (low-certainty evidence), but may result in a higher number of dropouts during intervention period (low-certainty evidence).
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Affiliation(s)
- Luciana A Mendes
- Federal University of Rio Grande do NortePneumoCardioVascular Lab, Onofre Lopes University Hospital, Brazilian Company of Hospital Services (EBSERH) & Department of Biomedical EngineeringNatalRio Grande do NorteBrazil59078‐970
| | - Illia NDF Lima
- Federal University of Rio Grande do NorteFaculty of Health Sciences of TrairiSanta CruzRio Grande do NorteBrazil59200‐000
| | - Tulio Souza
- Federal University of Rio Grande do NorteDepartment of Physical TherapyNatalBrazil59078‐970
| | - George C do Nascimento
- Federal University of Rio Grande do NorteDepartment of Biomedical EngineeringCaixa Postal 1524 ‐ Campus Universitário Lagoa NovaDepartamento de Engenharia BiomédicaNatalRio Grande do NorteBrazil59078‐970
| | - Vanessa R Resqueti
- Federal University of Rio Grande do NortePneumoCardioVascular Lab, Onofre Lopes University Hospital, Brazilian Company of Hospital Services (EBSERH) & Department of Physical TherapyCampus Universitario Lagoa NovaCaixa Postal 1524NatalRio Grande do NorteBrazil59078‐970
| | - Guilherme AF Fregonezi
- Onofre Lopes University Hospital, Brazilian Company of Hospital Services (EBSERH)PneumoCardioVascular LabNatalRio Grande do NorteBrazil59078‐970
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D'Anci KE, Uhl S, Oristaglio J, Sullivan N, Tsou AY. Treatments for Poststroke Motor Deficits and Mood Disorders: A Systematic Review for the 2019 U.S. Department of Veterans Affairs and U.S. Department of Defense Guidelines for Stroke Rehabilitation. Ann Intern Med 2019; 171:906-915. [PMID: 31739315 DOI: 10.7326/m19-2414] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Early rehabilitation after stroke is essential to help reduce disability. PURPOSE To summarize evidence on the benefits and harms of nonpharmacologic and pharmacologic treatments for motor deficits and mood disorders in adults who have had stroke. DATA SOURCES English-language searches of multiple electronic databases from April 2009 through July 2018; targeted searches to December 2018 for studies of selective serotonin reuptake inhibitors (SSRIs) or serotonin-norepinephrine reuptake inhibitors. STUDY SELECTION 19 systematic reviews and 37 randomized controlled trials addressing therapies for motor deficits or mood disorders in adults with stroke. DATA EXTRACTION One investigator abstracted the data, and quality and GRADE assessment were checked by a second investigator. DATA SYNTHESIS Most interventions (for example, SSRIs, mental practice, mirror therapy) did not improve motor function. High-quality evidence did not support use of fluoxetine to improve motor function. Moderate-quality evidence supported use of cardiorespiratory training to improve maximum walking speed and repetitive task training or transcranial direct current stimulation to improve activities of daily living (ADLs). Low-quality evidence supported use of robotic arm training to improve ADLs. Low-quality evidence indicated that antidepressants may reduce depression, whereas the frequency and severity of antidepressant-related adverse effects was unclear. Low-quality evidence suggested that cognitive behavioral therapy and exercise, including mind-body exercise, may reduce symptoms of depression and anxiety. LIMITATION Studies were of poor quality, interventions and comparators were heterogeneous, and evidence on harms was scarce. CONCLUSION Cardiorespiratory training, repetitive task training, and transcranial direct current stimulation may improve ADLs in adults with stroke. Cognitive behavioral therapy, exercise, and SSRIs may reduce symptoms of poststroke depression, but use of SSRIs to prevent depression or improve motor function was not supported. PRIMARY FUNDING SOURCE U.S. Department of Veterans Affairs, Veterans Health Administration.
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Affiliation(s)
- Kristen E D'Anci
- ECRI Institute, Plymouth Meeting, Pennsylvania (K.E.D., S.U., J.O., N.S., A.Y.T.)
| | - Stacey Uhl
- ECRI Institute, Plymouth Meeting, Pennsylvania (K.E.D., S.U., J.O., N.S., A.Y.T.)
| | - Jeffrey Oristaglio
- ECRI Institute, Plymouth Meeting, Pennsylvania (K.E.D., S.U., J.O., N.S., A.Y.T.)
| | - Nancy Sullivan
- ECRI Institute, Plymouth Meeting, Pennsylvania (K.E.D., S.U., J.O., N.S., A.Y.T.)
| | - Amy Y Tsou
- ECRI Institute, Plymouth Meeting, Pennsylvania (K.E.D., S.U., J.O., N.S., A.Y.T.)
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Sall J, Eapen BC, Tran JE, Bowles AO, Bursaw A, Rodgers ME. The Management of Stroke Rehabilitation: A Synopsis of the 2019 U.S. Department of Veterans Affairs and U.S. Department of Defense Clinical Practice Guideline. Ann Intern Med 2019; 171:916-924. [PMID: 31739317 DOI: 10.7326/m19-1695] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
DESCRIPTION In June 2019, the U.S. Department of Veterans Affairs (VA) and U.S. Department of Defense (DoD) approved an update of the joint clinical practice guideline for rehabilitation after stroke. This synopsis summarizes the key recommendations from this guideline. METHODS In February 2018, the VA/DoD Evidence-Based Practice Work Group convened a joint VA/DoD guideline development effort that included clinical stakeholders and stroke survivors and conformed to the National Academy of Medicine (formerly the Institute of Medicine) tenets for trustworthy clinical practice guidelines. The guideline panel identified key questions, systematically searched and evaluated the literature, and developed 2 algorithms and 42 key recommendations using the GRADE (Grading of Recommendations Assessment, Development and Evaluation) system. Stroke survivors and their family members were invited to share their perspectives to further inform guideline development. RECOMMENDATIONS The guideline recommendations provide evidence-based guidance for the rehabilitation care of patients after stroke. The recommendations are applicable to health care providers in both primary care and rehabilitation. Key features of the guideline are recommendations in 6 areas: timing and approach; motor therapy; dysphagia; cognitive, speech, and sensory therapy; mental health therapy; and other functions, such as returning to work and driving.
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Affiliation(s)
- James Sall
- Department of Veterans Affairs (J.S., J.E.T., M.E.R.)
| | - Blessen C Eapen
- VA Greater Los Angeles Health Care System, Los Angeles, California (B.C.E.)
| | | | - Amy O Bowles
- Brooke Army Medical Center, Fort Sam Houston, Texas (A.O.B.)
| | - Andrew Bursaw
- LtCol US Air Force Medical Corps, General and Vascular Neurologist, US Air Force Academy (A.B.)
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Ambrosini E, Zajc J, Ferrante S, Ferrigno G, Dalla Gasperina S, Bulgheroni M, Baccinelli W, Schauer T, Wiesener C, Russold M, Gfoehler M, Puchinger M, Weber M, Becker S, Krakow K, Immick N, Augsten A, Rossini M, Proserpio D, Gasperini G, Molteni F, Pedrocchi A. A Hybrid Robotic System for Arm Training of Stroke Survivors: Concept and First Evaluation. IEEE Trans Biomed Eng 2019; 66:3290-3300. [DOI: 10.1109/tbme.2019.2900525] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Singh N, Saini M, Anand S, Kumar N, Srivastava MVP, Mehndiratta A. Robotic Exoskeleton for Wrist and Fingers Joint in Post-Stroke Neuro-Rehabilitation for Low-Resource Settings. IEEE Trans Neural Syst Rehabil Eng 2019; 27:2369-2377. [PMID: 31545737 DOI: 10.1109/tnsre.2019.2943005] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Robots have the potential to help provide exercise therapy in a repeatable and reproducible manner for stroke survivors. To facilitate rehabilitation of the wrist and fingers joint, an electromechanical exoskeleton was developed that simultaneously moves the wrist and metacarpophalangeal joints. The device was designed for the ease of manufacturing and maintenance, with specific considerations for countries with limited resources. Active participation of the user is ensured by the implementation of electromyographic control and visual feedback of performance. Muscle activity requirements, movement parameters, range of motion and speed, of the device can all be customized to meet the needs of the user. Twelve stroke survivors, ranging from the subacute to chronic phases of recovery (mean 10.6 months post-stroke) participated in a pilot study with the device. Participants completed 20 sessions, each lasting 45 minutes. Overall, subjects exhibited statistically significant changes (p < 0.05) in clinical outcome measures following the treatment, with the Fugl-Meyer Stroke Assessment score for the upper extremity increasing from 36 to 50 and the Barthel Index increasing from 74 to 89. Active range of wrist motion increased by 19° while spasticity decreased from 1.75 to 1.29 on the Modified Ashworth Scale. Thus, this device shows promise for improving rehabilitation outcomes, especially for patients in countries with limited resources.
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Abdelhafiz MH, Spaich EG, Dosen S, Lotte N S AS. Bio-inspired tendon driven mechanism for simultaneous finger joints flexion using a soft hand exoskeleton. IEEE Int Conf Rehabil Robot 2019; 2019:1073-1078. [PMID: 31374772 DOI: 10.1109/icorr.2019.8779547] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
A new tendon driven mechanism, embedded into a soft hand exoskeleton for rehabilitation and assistance, was proposed in this study. The proposed solution was a pulley flexion mechanism inspired by the human musculoskeletal system to enable a natural and comfortable finger flexion. A biomechanical constraint for the finger flexion motion states that the relation between the proximal interphalangeal joint angle of the finger should always be flexed around 1.5 times the distal interphalangeal joint angle. The study aimed to comply with this constraint, by simultaneously distributing the forces over the distal and middle finger phalanges. For evaluation, the voluntary and exoskeleton flexions were compared based on the relation between the proximal and distal interphalangeal joint angles. The results showed that during the exoskeleton flexion the relation between the interphalangeal joints complied with the biomechanical constraint, where the proximal interphalangeal joint angle was 1.5 times larger than the distal interphalangeal joint. This ensures that the mechanism flexes the finger comfortably. The proposed solution is therefore a promising design for a novel soft exoskeleton that will be used for training and assistance of patients with hand paralysis.
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Qian Q, Nam C, Guo Z, Huang Y, Hu X, Ng SC, Zheng Y, Poon W. Distal versus proximal - an investigation on different supportive strategies by robots for upper limb rehabilitation after stroke: a randomized controlled trial. J Neuroeng Rehabil 2019; 16:64. [PMID: 31159822 PMCID: PMC6545723 DOI: 10.1186/s12984-019-0537-5] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2018] [Accepted: 05/16/2019] [Indexed: 11/21/2022] Open
Abstract
Background Different mechanical supporting strategies to the joints in the upper extremity (UE) may lead to varied rehabilitative effects after stroke. This study compared the rehabilitation effectiveness achieved by electromyography (EMG)-driven neuromuscular electrical stimulation (NMES)-robotic systems when supporting to the distal fingers and to the proximal (wrist-elbow) joints. Methods Thirty subjects with chronic stroke were randomly assigned to receive motor trainings with NMES-robotic support to the finger joints (hand group, n = 15) and with support to the wrist-elbow joints (sleeve group, n = 15). The training effects were evaluated by the clinical scores of Fugl-Meyer Assessment (FMA), Action Research Arm Test (ARAT), and Modified Ashworth Scale (MAS) before and after the trainings, as well as 3 months later. The cross-session EMG monitoring of EMG activation level and co-contraction index (CI) were also applied to investigate the recovery progress of muscle activations and muscle coordination patterns through the training sessions. Results Significant improvements (P < 0.05) in FMA full score, FMA shoulder/elbow (FMA-SE) and ARAT scores were found in both groups, whereas significant improvements (P < 0.05) in FMA wrist/hand (FMA-WH) and MAS scores were only observed in the hand group. Significant decrease of EMG activation levels (P < 0.05) of UE flexors was observed in both groups. Significant decrease in CI values (P < 0.05) was observed in both groups in the muscle pairs of biceps brachii and triceps brachii (BIC&TRI) and the wrist-finger flexors (flexor carpi radialis-flexor digitorum) and TRI (FCR-FD&TRI). The EMG activation levels and CIs of the hand group exhibited faster reductions across the training sessions than the sleeve group (P < 0.05). Conclusions Robotic supports to either the distal fingers or the proximal elbow-wrist could achieve motor improvements in UE. The robotic support directly to the distal fingers was more effective than to the proximal parts in improving finger motor functions and in releasing muscle spasticity in the whole UE. Clinical trial registration ClinicalTrials.gov, identifier NCT02117089; date of registration: April 10, 2014. https://clinicaltrials.gov/ct2/show/NCT02117089
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Affiliation(s)
- Qiuyang Qian
- Department of Biomedical Engineering, the Hong Kong Polytechnic University, Kowloon, Hong Kong
| | - Chingyi Nam
- Department of Biomedical Engineering, the Hong Kong Polytechnic University, Kowloon, Hong Kong
| | - Ziqi Guo
- Department of Biomedical Engineering, the Hong Kong Polytechnic University, Kowloon, Hong Kong
| | - Yanhuan Huang
- Department of Biomedical Engineering, the Hong Kong Polytechnic University, Kowloon, Hong Kong
| | - Xiaoling Hu
- Department of Biomedical Engineering, the Hong Kong Polytechnic University, Kowloon, Hong Kong.
| | - Stephanie C Ng
- Department of Surgery, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Yongping Zheng
- Department of Biomedical Engineering, the Hong Kong Polytechnic University, Kowloon, Hong Kong
| | - Waisang Poon
- Department of Surgery, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong
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Translation and Initial Validation of the Chinese Version of the Action Research Arm Test in People with Stroke. BIOMED RESEARCH INTERNATIONAL 2019; 2019:5416560. [PMID: 30805366 PMCID: PMC6363239 DOI: 10.1155/2019/5416560] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/05/2018] [Revised: 12/08/2018] [Accepted: 01/02/2019] [Indexed: 01/17/2023]
Abstract
Purpose This study aimed to translate the English version of the Action Research Arm Test (ARAT) into Chinese and to evaluate the initial validation of the Chinese version (C-ARAT) in patients with a first stroke. Methods An expert group translated the original ARAT from English into Chinese using a forward-backward procedure. Forty-four patients (36 men and 8 women) aged 22–80 years with a first stroke were enrolled in this study. The participants were evaluated using 3 stroke-specific outcome measures: C-ARAT, the upper extremity section of the Fugl–Meyer assessment (UE-FMA), and the Wolf Motor Function Test (WMFT). Internal consistency was analysed using Cronbach's α coefficients and item-scale correlations. Concurrent validity was determined using Spearman's rank correlation coefficients. Floor and ceiling effects were considered to be present when more than 20% of patients fell outside the preliminarily set lower or upper boundary, respectively. Results The C-ARAT items yielded excellent internal consistency, with a Cronbach's α of 0.98 (p < 0.001) and item-total correlations ranging from 0.727 to 0.948 (p < 0.001). The C-ARAT exhibited good-to-excellent correlations with the UE-FMA and WMFT functional ability (WMFT-FA) scores, with respective ρ values of 0.824 and 0.852 (p < 0.001), and an excellent negative correlation with the WMFT performance time (WMFT-time), with a ρ value of -0.940 (p < 0.001). The C-ARAT subscales generally exhibited good-to-excellent correlations with stroke-specific assessments, with ρ values ranging from 0.773 to 0.927 (p < 0.001). However, the gross subscale exhibited moderate-to-good correlations with the UE-FMA and WMFT-FA scores, with respective ρ values of 0.665 and 0.720 (p < 0.001). No significant floor effect was observed, and a significant ceiling effect was observed only on the WMFT-time. Conclusions The C-ARAT demonstrated excellent internal consistency and good-to-excellent concurrent validity. This test could be used to evaluate upper extremity function in stroke patients without cognitive impairment.
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Monte-Silva K, Piscitelli D, Norouzi-Gheidari N, Batalla MAP, Archambault P, Levin MF. Electromyogram-Related Neuromuscular Electrical Stimulation for Restoring Wrist and Hand Movement in Poststroke Hemiplegia: A Systematic Review and Meta-Analysis. Neurorehabil Neural Repair 2019; 33:96-111. [DOI: 10.1177/1545968319826053] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Background. Clinical trials have demonstrated some benefits of electromyogram-triggered/controlled neuromuscular electrical stimulation (EMG-NMES) on motor recovery of upper limb (UL) function in patients with stroke. However, EMG-NMES use in clinical practice is limited due to a lack of evidence supporting its effectiveness. Objective. To perform a systematic review and meta-analysis to determine the effects of EMG-NMES on stroke UL recovery based on each of the International Classification of Functioning, Disability, and Health (ICF) domains. Methods. Database searches identified clinical trials comparing the effect of EMG-NMES versus no treatment or another treatment on stroke upper extremity motor recovery. A meta-analysis was done for outcomes at each ICF domain (Body Structure and Function, Activity and Participation) at posttest (short-term) and follow-up periods. Subgroup analyses were conducted based on stroke chronicity (acute/subacute, chronic phases). Sensitivity analysis was done by removing studies rated as poor or fair quality (PEDro score <6). Results. Twenty-six studies (782 patients) met the inclusion criteria. Fifty percent of them were considered to be of high quality. The meta-analysis showed that EMG-NMES has a robust short-term effect on improving UL motor impairment in the Body Structure and Function domain. No evidence was found in favor of EMG-NMES for the Activity and Participation domain. EMG-NMES had a stronger effect for each ICF domain in chronic (≥3 months) compared to acute/subacute phases. Conclusion. EMG-NMES is effective in the short term in improving UL impairment in individuals with chronic stroke.
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Affiliation(s)
- Katia Monte-Silva
- Universidade Federal de Pernambuco, Recife, Brazil
- Jewish Rehabilitation Hospital Site, Centre for Interdisciplinary Research in Rehabilitation of Greater Montreal (CRIR), Laval, Canada
| | - Daniele Piscitelli
- Jewish Rehabilitation Hospital Site, Centre for Interdisciplinary Research in Rehabilitation of Greater Montreal (CRIR), Laval, Canada
- McGill University, Montreal, Quebec, Canada
| | - Nahid Norouzi-Gheidari
- Jewish Rehabilitation Hospital Site, Centre for Interdisciplinary Research in Rehabilitation of Greater Montreal (CRIR), Laval, Canada
- McGill University, Montreal, Quebec, Canada
| | - Marc Aureli Pique Batalla
- Jewish Rehabilitation Hospital Site, Centre for Interdisciplinary Research in Rehabilitation of Greater Montreal (CRIR), Laval, Canada
- Maastricht University, Maastricht, Netherlands
| | - Philippe Archambault
- Jewish Rehabilitation Hospital Site, Centre for Interdisciplinary Research in Rehabilitation of Greater Montreal (CRIR), Laval, Canada
- McGill University, Montreal, Quebec, Canada
| | - Mindy F. Levin
- Jewish Rehabilitation Hospital Site, Centre for Interdisciplinary Research in Rehabilitation of Greater Montreal (CRIR), Laval, Canada
- McGill University, Montreal, Quebec, Canada
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Lin IH, Tsai HT, Wang CY, Hsu CY, Liou TH, Lin YN. Effectiveness and Superiority of Rehabilitative Treatments in Enhancing Motor Recovery Within 6 Months Poststroke: A Systemic Review. Arch Phys Med Rehabil 2018; 100:366-378. [PMID: 30686327 DOI: 10.1016/j.apmr.2018.09.123] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2018] [Revised: 08/19/2018] [Accepted: 09/21/2018] [Indexed: 01/28/2023]
Abstract
OBJECTIVE To investigate the effects of various rehabilitative interventions aimed at enhancing poststroke motor recovery by assessing their effectiveness when compared with no treatment or placebo and their superiority when compared with conventional training program (CTP). DATA SOURCE A literature search was based on 19 Cochrane reviews and 26 other reviews. We also updated the searches in PubMed up to September 30, 2017. STUDY SELECTION Randomized controlled trials associated with 18 experimented training programs (ETP) were included if they evaluated the effects of the programs on either upper extremity (UE) or lower extremity (LE) motor recovery among adults within 6 months poststroke; included ≥10 participants in each arm; and had an intervention duration of ≥10 consecutive weekdays. DATA EXTRACTION Four reviewers evaluated the eligibility and quality of literature. Methodological quality was assessed using the PEDro scale. DATA SYNTHESIS Among the 178 included studies, 129 including 7450 participants were analyzed in this meta-analysis. Six ETPs were significantly effective in enhancing UE motor recovery, with the standard mean differences (SMDs) and 95% confidence intervals outlined as follow: constraint-induced movement therapy (0.82, 0.45-1.19), electrostimulation (ES)-motor (0.42, 0.22-0.63), mirror therapy (0.71, 0.22-1.20), mixed approach (0.21, 0.01-0.41), robot-assisted training (0.51, 0.22-0.80), and task-oriented training (0.57, 0.16-0.99). Six ETPs were significantly effective in enhancing LE motor recovery: body-weight-supported treadmill training (0.27, 0.01-0.52), caregiver-mediated training (0.64, 0.20-1.08), ES-motor (0.55, 0.27-0.83), mixed approach (0.35, 0.15-0.54), mirror therapy (0.56, 0.13-1.00), and virtual reality (0.60, 0.15-1.05). However, compared with CTPs, almost none of the ETPs exhibited significant SMDs for superiority. CONCLUSIONS Certain experimented interventions were effective in enhancing poststroke motor recovery, but little evidence supported the superiority of experimented interventions over conventional rehabilitation.
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Affiliation(s)
- I-Hsien Lin
- Department of Physical Medicine and Rehabilitation, Wan-Fang Hospital, Taipei Medical University, Taipei, Taiwan
| | - Han-Ting Tsai
- Department of Physical Medicine and Rehabilitation, Wan-Fang Hospital, Taipei Medical University, Taipei, Taiwan
| | - Chien-Yung Wang
- Department of Physical Medicine and Rehabilitation, Wan-Fang Hospital, Taipei Medical University, Taipei, Taiwan
| | - Chih-Yang Hsu
- Department of Physical Medicine and Rehabilitation, Shuang-Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
| | - Tsan-Hon Liou
- Department of Physical Medicine and Rehabilitation, Shuang-Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
| | - Yen-Nung Lin
- Department of Physical Medicine and Rehabilitation, Wan-Fang Hospital, Taipei Medical University, Taipei, Taiwan; Institute of Injury Prevention and Control, Taipei Medical University, Taipei, Taiwan.
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Xu R, Wang Y, Wang K, Zhang S, He C, Ming D. Increased Corticomuscular Coherence and Brain Activation Immediately After Short-Term Neuromuscular Electrical Stimulation. Front Neurol 2018; 9:886. [PMID: 30405518 PMCID: PMC6206169 DOI: 10.3389/fneur.2018.00886] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2018] [Accepted: 10/01/2018] [Indexed: 11/13/2022] Open
Abstract
Neuromuscular Electrical Stimulation (NMES) is commonly used in motor rehabilitation for stroke patients. It has been verified that NMES can improve muscle strength and activate the brain, but the studies on how NMES affects the corticomuscular connection are limited. Some studies found an increased corticomuscular coherence (CMC) after a long-term NMES. However, it is still unknown about CMC during NMES, as relatively pure EMG is very difficult to obtain with the contamination of NMES current pulses. In order to approach the condition during NMES, we designed an experiment with short-term NMES and immediately captured data within 100 s. The repetition of wrist flexion was used to realize static muscle contractions for CMC calculation and dynamic contractions for event-related desynchronization (ERD). The result of 13 healthy participants showed that maximal values (p = 0.0020) and areas (p = 0.0098) of CMC and beta ERD were significantly increased immediately after NMES. It was concluded that a short-term NMES can still reinforce corticomuscular functional connection and brain activation related to motor task. This study verified the immediate strengthen of corticomuscular changes after NMES, which was expected to be the basis of long-term neural plasticity induced by NMES.
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Affiliation(s)
- Rui Xu
- Lab of Neural Engineering & Rehabilitation, Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China.,Tianjin International Joint Research Center for Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China
| | - Yaoyao Wang
- Lab of Neural Engineering & Rehabilitation, Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China.,Tianjin International Joint Research Center for Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China
| | - Kun Wang
- Lab of Neural Engineering & Rehabilitation, Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China.,Tianjin International Joint Research Center for Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China
| | - Shufeng Zhang
- Lab of Neural Engineering & Rehabilitation, Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China.,Tianjin International Joint Research Center for Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China
| | - Chuan He
- Lab of Neural Engineering & Rehabilitation, Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China.,Tianjin International Joint Research Center for Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China
| | - Dong Ming
- Lab of Neural Engineering & Rehabilitation, Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China.,Tianjin International Joint Research Center for Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China
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Wu Q, Wang X, Chen B, Wu H. Patient-Active Control of a Powered Exoskeleton Targeting Upper Limb Rehabilitation Training. Front Neurol 2018; 9:817. [PMID: 30364274 PMCID: PMC6193099 DOI: 10.3389/fneur.2018.00817] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2018] [Accepted: 09/10/2018] [Indexed: 12/22/2022] Open
Abstract
Robot-assisted therapy affords effective advantages to the rehabilitation training of patients with motion impairment problems. To meet the challenge of integrating the active participation of a patient in robotic training, this study presents an admittance-based patient-active control scheme for real-time intention-driven control of a powered upper limb exoskeleton. A comprehensive overview is proposed to introduce the major mechanical structure and the real-time control system of the developed therapeutic robot, which provides seven actuated degrees of freedom and achieves the natural ranges of human arm movement. Moreover, the dynamic characteristics of the human-exoskeleton system are studied via a Lagrangian method. The patient-active control strategy consisting of an admittance module and a virtual environment module is developed to regulate the robot configurations and interaction forces during rehabilitation training. An audiovisual game-like interface is integrated into the therapeutic system to encourage the voluntary efforts of the patient and recover the neural plasticity of the brain. Further experimental investigation, involving a position tracking experiment, a free arm training experiment, and a virtual airplane-game operation experiment, is conducted with three healthy subjects and eight hemiplegic patients with different motor abilities. Experimental results validate the feasibility of the proposed scheme in providing patient-active rehabilitation training.
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Affiliation(s)
- Qingcong Wu
- College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
| | - Xingsong Wang
- College of Mechanical Engineering, Southeast University, Nanjing, China
| | - Bai Chen
- College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
| | - Hongtao Wu
- College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
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Guo XX, Fan BY, Mao YY. Effectiveness of neuromuscular electrical stimulation for wrist rehabilitation after acute ischemic stroke. Medicine (Baltimore) 2018; 97:e12299. [PMID: 30235676 PMCID: PMC6160088 DOI: 10.1097/md.0000000000012299] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
This study investigated the effectiveness of neuromuscular electrical stimulation (NMES) for patients with wrist dysfunction after acute ischemic stroke (AIS).A total of 82 patient cases with wrist dysfunction after AIS were selected in this study. Of these, 41 cases in the intervention group received physical training and NMES treatment. The other 41 cases in the control group received physical training only. The primary outcome was measured by Action Research Arm Test (ARAT) score. The secondary outcomes were measured by the Barthel Index (BI), and numerical rating scale (NRS).After 4-week treatment, patients in the intervention group neither improved arm function recovery, measured by ARAT score (P = .79), and activities of daily living, measured by BI scale (P = .62), nor reduced pain, measured by the NRS scale (P = .11), compared with patients in the control group.The results of this study demonstrated that NMES might not benefit for patients with wrist dysfunction after AIS after 4-week treatment.
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Affiliation(s)
- Xiao-xian Guo
- Department of Neurology, The People's Hospital of Yan’an
| | - Bai-ya Fan
- Department of Neurology, The People's Hospital of Yan’an
| | - Yan-yang Mao
- Department of Cardiology, Affiliated Hospital of Yan’an University, Yan’an, China
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Huang Y, Lai WP, Qian Q, Hu X, Tam EWC, Zheng Y. Translation of robot-assisted rehabilitation to clinical service: a comparison of the rehabilitation effectiveness of EMG-driven robot hand assisted upper limb training in practical clinical service and in clinical trial with laboratory configuration for chronic stroke. Biomed Eng Online 2018; 17:91. [PMID: 29941043 PMCID: PMC6019523 DOI: 10.1186/s12938-018-0516-2] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2018] [Accepted: 06/12/2018] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Rehabilitation robots can provide intensive physical training after stroke. However, variations of the rehabilitation effects in translation from well-controlled research studies to clinical services have not been well evaluated yet. This study aims to compare the rehabilitation effects of the upper limb training by an electromyography (EMG)-driven robotic hand achieved in a well-controlled research environment and in a practical clinical service. METHODS It was a non-randomized controlled trial, and thirty-two participants with chronic stroke were recruited either in the clinical service (n = 16, clinic group), or in the research setting (n = 16, lab group). Each participant received 20-session EMG-driven robotic hand assisted upper limb training. The training frequency (4 sessions/week) and the pace in a session were fixed for the lab group, while they were flexible (1-3 sessions/week) and adaptive for the clinic group. The training effects were evaluated before and after the treatment with clinical scores of the Fugl-Meyer Assessment (FMA), Action Research Arm Test (ARAT), Functional Independence Measure (FIM), and Modified Ashworth Scale (MAS). RESULTS Significant improvements in the FMA full score, shoulder/elbow and wrist/hand (P < 0.001), ARAT (P < 0.001), and MAS elbow (P < 0.05) were observed after the training for both groups. Significant improvements in the FIM (P < 0.05), MAS wrist (P < 0.001) and MAS hand (P < 0.05) were only obtained after the training in the clinic group. Compared with the lab group, higher FIM improvement in the clinic group was observed (P < 0.05). CONCLUSIONS The functional improvements after the robotic hand training in the clinical service were comparable to the effectiveness achieved in the research setting, through flexible training schedules even with a lower training frequency every week. Higher independence in the daily living and a more effective release in muscle tones were achieved in the clinic group than the lab group.
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Affiliation(s)
- Yanhuan Huang
- Department of Biomedical Engineering, Interdisciplinary Division of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China
| | - Will Poyan Lai
- Jockey Club Rehabilitation Engineering Clinic, Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China
| | - Qiuyang Qian
- Department of Biomedical Engineering, Interdisciplinary Division of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China
| | - Xiaoling Hu
- Department of Biomedical Engineering, Interdisciplinary Division of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China
| | - Eric W. C. Tam
- Department of Biomedical Engineering, Interdisciplinary Division of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China
- Jockey Club Rehabilitation Engineering Clinic, Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China
| | - Yongping Zheng
- Department of Biomedical Engineering, Interdisciplinary Division of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China
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