1
|
Hwang S, Min KC, Song CS. Assistive technology on upper extremity function for stroke patients: A systematic review with meta-analysis. J Hand Ther 2024; 37:507-519. [PMID: 38796397 DOI: 10.1016/j.jht.2023.12.014] [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: 08/04/2023] [Revised: 12/22/2023] [Accepted: 12/30/2023] [Indexed: 05/28/2024]
Abstract
BACKGROUND In stroke rehabilitation, the selection of appropriate assistive devices is of paramount importance for patients. Specifically, the choice of device can significantly influence the functional recovery of the upper limb, impacting their overall activities or functional tasks. OBJECTIVES This review aimed to comprehensively analyze and summarize the clinical evidence from randomized controlled trials (RCTs) regarding the therapeutic effects of commonly used assistive devices on upper extremity function in patients with stroke. METHODS To evaluate assistive devices for patients with stroke, we summarized qualitatively throughout synthesis of results, such as therapeutic intervention, intensity, outcome, and summary of results, and examined risk of bias, heterogeneity, mean difference, 95% confidence interval, and I-squared value. To analyze, we used RoB 2 and RevMan 5.4. RESULTS The qualitative synthesis included 31 RCTs. The randomization process and the reporting of results showed minimal bias, but there were issues with bias from intended interventions, and missing outcome data presented some concerns. The quantitative synthesis included 16 RCTs. There was a significant difference in the Fugl-Meyer assessment-upper extremity functioning (FMA-UE) scores between the groups, with a total mean difference (95% confidence interval) of 2.40 (0.21, 4.60), heterogeneity values were Tau2 = 0.32, chi-square = 8.22, degrees of freedom = 8 (p = 0.41), and I2 = 3% for FMA-UE and the test for the overall effect produced Z = 2.14 (p = 0.03) in patients with chronic stroke. However, there was no significant difference in all other outcome measures. CONCLUSIONS Upper-limb robots did not demonstrate significant superiority over conventional treatments in improving function of upper limbs, with the exception of FMA-UE scores for patients with chronic stroke. The mean difference of FMA-UE was also lower than minimally important difference. Nonetheless, the usage of upper-limb robots may contribute to enhanced function for patients with stroke, as those devices support clinicians and enable a greater number of movement repetitions within specific time frames.
Collapse
Affiliation(s)
- Sujin Hwang
- Department of Physical Therapy, Division of Health Science, Baekseok University, Cheonan, Republic of Korea; Graduate School of Health Welfare, Baekseok University, Seoul, Republic of Korea
| | - Kyoung-Chul Min
- Department of Occupational Therpay, Wonkwang University, Republic of Korea
| | - Chiang-Soon Song
- Department of Occupational Therapy, College of Natural Science and Public Health and Safety, Chosun University, Gwangju, Republic of Korea.
| |
Collapse
|
2
|
Rajashekar D, Boyer A, Larkin-Kaiser KA, Dukelow SP. Technological Advances in Stroke Rehabilitation: Robotics and Virtual Reality. Phys Med Rehabil Clin N Am 2024; 35:383-398. [PMID: 38514225 DOI: 10.1016/j.pmr.2023.06.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/23/2024]
Abstract
Robotic technology and virtual reality (VR) have been widely studied technologies in stroke rehabilitation over the last few decades. Both technologies have typically been considered as ways to enhance recovery through promoting intensive, repetitive, and engaging therapies. In this review, we present the current evidence from interventional clinical trials that employ either robotics, VR, or a combination of both modalities to facilitate post-stroke recovery. Broadly speaking, both technologies have demonstrated some success in improving post-stroke outcomes and complementing conventional therapy. However, more high-quality, randomized, multicenter trials are required to confirm our current understanding of their role in precision stroke recovery.
Collapse
Affiliation(s)
- Deepthi Rajashekar
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Alexa Boyer
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Schulich School of Engineering: Department of Biomedical Engineering, University of Calgary, Calgary, Alberta, Canada
| | - Kelly A Larkin-Kaiser
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada; Ablerta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada
| | - Sean P Dukelow
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada; Division of Physical Medicine and Rehabilitation, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
| |
Collapse
|
3
|
Carrillo C, Tilley D, Horn K, Gonzalez M, Coffman C, Hilton C, Mani K. Effectiveness of Robotics in Stroke Rehabilitation to Accelerate Upper Extremity Function: Systematic Review. Occup Ther Int 2023; 2023:7991765. [PMID: 37927581 PMCID: PMC10624545 DOI: 10.1155/2023/7991765] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 06/24/2023] [Accepted: 10/10/2023] [Indexed: 11/07/2023] Open
Abstract
Objective To examine the effectiveness of robot-assisted therapy (RAT) combined with conventional therapy (CT) compared to CT alone in accelerating upper extremity (UE) recovery poststroke. Data Sources. We searched five databases: Ovid, MEDLINE, CINAHL, PubMed, and Scopus Study Selection. Studies were selected for this review using the following inclusion criteria: randomized controlled trials of adults, RAT combined with CT compared to CT, and Fugl-Meyer Assessment (FMA) as an outcome measure. Studies focused on children with neurological impairments, and studies that used RAT to facilitate lower extremity recovery and/or improve gait were excluded. Data Extraction. The initial search yielded 3,019 citations of articles published between January 2011 and May 2021. Fourteen articles met the inclusion criteria. Randomization, allocation sequence concealment, blinding, and other biases were assessed. Data Synthesis. Current evidence suggests that the use of RAT along with CT may accelerate upper extremity recovery, measured by FMA, in the beginning of rehabilitation. However, the progress fades over time. More empirical research is needed to validate this observation. Also, the findings related to cost-benefit analyses of RAT are inconclusive. Conclusions It is unclear whether RAT accelerates UE recovery poststroke when used in conjunction with conventional therapy. Given the capital and maintenance costs involved in developing and delivering RAT, more controlled studies examining the effectiveness and cost-benefit analysis of RAT are needed before it can be used widely. This trial is registered with CRD42021270824.
Collapse
Affiliation(s)
- Cora Carrillo
- University of Texas Medical Branch, Galveston, Texas, USA
| | - Devyn Tilley
- University of Texas Medical Branch, Galveston, Texas, USA
| | - Kaitlyn Horn
- University of Texas Medical Branch, Galveston, Texas, USA
| | | | | | - Claudia Hilton
- University of Texas Medical Branch, Galveston, Texas, USA
| | - Karthik Mani
- University of Texas Medical Branch, Galveston, Texas, USA
| |
Collapse
|
4
|
Yuan R, Qiao X, Tang C, Zhou T, Chen W, Song R, Jiang Y, Reinhardt JD, Wang H. Effects of Uni- vs. Bilateral Upper Limb Robot-Assisted Rehabilitation on Motor Function, Activities of Daily Living, and Electromyography in Hemiplegic Stroke: A Single-Blinded Three-Arm Randomized Controlled Trial. J Clin Med 2023; 12:jcm12082950. [PMID: 37109287 PMCID: PMC10143606 DOI: 10.3390/jcm12082950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Revised: 04/03/2023] [Accepted: 04/07/2023] [Indexed: 04/29/2023] Open
Abstract
OBJECTIVE To evaluate if bilateral or unilateral upper limb robot-assisted rehabilitation training using a new three-dimensional end-effector robot that targets shoulder and elbow flexion and abduction is superior to conventional therapy with regard to upper extremity motor function recovery and neuromuscular improvement in stroke patients. DESIGN Randomized, controlled, parallel, assessor-blinded, three-arm clinical trial. SETTING Southeast University Zhongda Hospital Nanjing, Jiangsu, China. METHODS Seventy patients with hemiplegic stroke were randomly assigned to conventional training (Control, n = 23) or unilateral (URT, n = 23), or bilateral robotic training (BRT, n = 24). The conventional group received routine rehabilitation, 60 min/day, 6 days/week, for 3 weeks. For URT and BRT upper limb robot-assisted rehabilitation training was added. This was 60 min/day, 6 days/week, for 3 weeks. The primary outcome was upper limb motor function assessed with Fugl-Meyer-Upper Extremity Scale (FMA-UE). Secondary outcomes were activities of daily living (ADL) assessed with the Modified Barthel Index (MBI), Motor Evoked Potential (MEP) to assess corticospinal tract connectivity, Root Mean Square (RMS) value, and integrate Electromyography (iEMG) value recorded by surface electromyography to evaluate muscle contraction function. RESULTS The primary outcome indicator FMA-UE (least square mean (LSMEAN): 31.40, 95% confidence interval (95% CI): 27.74-35.07) and the secondary outcome indicator MBI (LSMEAN: 69.95, 95% CI: 66.69-73.21) were significantly improved in BRT as opposed to control (FMA-UE, LSMEAN: 24.79, 95% CI: 22.23-27.35; MBI, LSMEAN: 62.75, 95% CI: 59.42-66.09); and unilateral (FMA-UE, LSMEAN: 25.97, 95% CI: 23.57-28.36; MBI, LSMEAN: 64.34, 95% CI: 61.01-67.68). BRT also showed greater improvement in the anterior deltoid bundle with regard to muscle contraction function indicated by RMS (LSMEAN: 257.79, 95% CI: 211.45-304.12) and iEMG (LSMEAN: 202.01, 95% CI: 167.09-236.94), as compared to the controls (RMS, LSMEAN: 170.77, 95% CI: 148.97-192.58; iEMG, LSMEAN: 132.09, 95% CI: 114.51-149.68), and URT (RMS, LSMEAN: 179.05, 95% CI: 156.03-202.07; iEMG, LSMEAN: 130.38, 95% CI: 107.50-153.26). There was no statistically significant difference between URT and conventional training for any outcome. There was no significant difference in MEP extraction rate after treatment between groups (p = 0.54 for URT, p = 0.08 for BRT). CONCLUSIONS A 60 min daily training for upper extremities using a three-dimensional end-effector targeting elbow and shoulder adding conventional rehabilitation appears to promote upper limb function and ADL in stroke patients only if delivered bilaterally. URT does not seem to result in better outcomes than conventional rehabilitation. Electrophysiological results suggest that training using a bilateral upper limb robot increases the recruitment of motor neurons rather than improving the conduction function of the corticospinal tract.
Collapse
Affiliation(s)
- Runping Yuan
- Graduate School of Bengbu Medical College, Bengbu 233030, China
- Southeast University Zhongda Hospital, Nanjing 210003, China
| | - Xu Qiao
- Institute for Disaster Management and Reconstruction of Sichuan University and Hong Kong Polytechnic University, Sichuan University, Chengdu 610041, China
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China
| | - Congzhi Tang
- Southeast University Zhongda Hospital, Nanjing 210003, China
| | - Ting Zhou
- Southeast University Zhongda Hospital, Nanjing 210003, China
| | - Wenli Chen
- Southeast University Zhongda Hospital, Nanjing 210003, China
| | - Ruyan Song
- Southeast University Zhongda Hospital, Nanjing 210003, China
| | - Yong Jiang
- The First Affiliated Hospital of Bengbu Medical College, Bengbu 233099, China
| | - Jan D Reinhardt
- Institute for Disaster Management and Reconstruction of Sichuan University and Hong Kong Polytechnic University, Sichuan University, Chengdu 610041, China
- Swiss Paraplegic Research, 6207 Nottwil, Switzerland
- Department of Health Sciences and Medicine, University of Lucerne, 6002 Lucerne, Switzerland
- Center for Rehabilitation Medicine, Jiangsu Province Hospital, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Hongxing Wang
- Southeast University Zhongda Hospital, Nanjing 210003, China
| |
Collapse
|
5
|
Kuo LC, Yang KC, Lin YC, Lin YC, Yeh CH, Su FC, Hsu HY. Internet of Things (IoT) Enables Robot-Assisted Therapy as a Home Program for Training Upper Limb Functions in Chronic Stroke: A Randomized Control Crossover Study. Arch Phys Med Rehabil 2023; 104:363-371. [PMID: 36122608 DOI: 10.1016/j.apmr.2022.08.976] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 08/18/2022] [Accepted: 08/31/2022] [Indexed: 11/02/2022]
Abstract
OBJECTIVE To compare the effects of using an Internet of things (IoT)-assisted tenodesis-induced-grip exoskeleton robot (TIGER) and task-specific motor training (TSMT) as home programs for the upper-limb (UL) functions of patients with chronic stroke to overturn conventional treatment modes for stroke rehabilitation. DESIGN A randomized 2-period crossover study. SETTING A university hospital. PARTICIPANTS Eighteen chronic stroke patients were recruited and randomized to receive either the IoT-assisted TIGER first or TSMT first at the beginning of the experiment (N=18). INTERVENTION In addition to the standard hospital-based therapy, participants were allocated to receive a 30-minute home-based, self-administered program of either IoT-assisted TIGER first or TSMT first twice daily for 4 weeks, with the order of both treatments reversed after a 12-week washout period. The exercise mode of the TIGER training included continuous passive motion and the functional mode of gripping pegs. The TSMT involved various movement components of the wrist and hand. MAIN OUTCOME MEASURES The outcome measures included the box and block test (BBT), the Fugl-Meyer assessment for upper extremity (FMA-UE), the motor activity log, the Semmes-Weinstein Monofilament test, the range of motion (ROM) of the wrist joint, and the modified Ashworth scale. RESULTS Significant treatment-by-time interaction effects emerged in the results for the BBT (F(1.31)=5.212 and P=.022), the FMA-UE (F(1.31)=6.807 and P=.042), and the ROM of the wrist extension (F(1.31)=8.618 and P=.009). The participants who trained at home with the IoT-assisted TIGER showed more improvement of their UL functions. CONCLUSIONS The IoT-assisted TIGER training has the potential for restoring the UL functions of stroke patients.
Collapse
Affiliation(s)
- Li-Chieh Kuo
- Department of Occupational Therapy, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Medical Device Innovation Center, National Cheng Kung University, Tainan, Taiwan; Department of Physical Medicine and Rehabilitation, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Department of Biomedical Engineering, College of Engineering, National Cheng Kung University, Tainan, Taiwan
| | - Kang-Chin Yang
- Medical Device Innovation Center, National Cheng Kung University, Tainan, Taiwan
| | - Yu-Ching Lin
- Department of Physical Medicine and Rehabilitation, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Department of Physical Medicine and Rehabilitation, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Yu-Chen Lin
- Department of Occupational Therapy, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Department of Occupational Therapy, Da-Yeh University, Changhua, Taiwan.
| | - Chien-Hsien Yeh
- Medical Device Innovation Center, National Cheng Kung University, Tainan, Taiwan
| | - Fong-Chin Su
- Medical Device Innovation Center, National Cheng Kung University, Tainan, Taiwan; Department of Biomedical Engineering, College of Engineering, National Cheng Kung University, Tainan, Taiwan
| | - Hsiu-Yun Hsu
- Department of Occupational Therapy, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Department of Physical Medicine and Rehabilitation, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
| |
Collapse
|
6
|
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.
Collapse
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
| | | |
Collapse
|
7
|
De la Cruz-Sánchez BA, Arias-Montiel M, Lugo-González E. EMG-controlled hand exoskeleton for assisted bilateral rehabilitation. Biocybern Biomed Eng 2022. [DOI: 10.1016/j.bbe.2022.04.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
|
8
|
Chen S, Qiu Y, Bassile CC, Lee A, Chen R, Xu D. Effectiveness and Success Factors of Bilateral Arm Training After Stroke: A Systematic Review and Meta-Analysis. Front Aging Neurosci 2022; 14:875794. [PMID: 35547621 PMCID: PMC9082277 DOI: 10.3389/fnagi.2022.875794] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Accepted: 03/28/2022] [Indexed: 12/05/2022] Open
Abstract
Bilateral arm training (BAT) presents as a promising approach in upper extremity (UE) rehabilitation after a stroke as it may facilitate neuroplasticity. However, the effectiveness of BAT is inconclusive, and no systematic reviews and meta-analyses have investigated the impact of different factors on the outcomes of BAT. This systematic review and meta-analysis aimed to (1) compare the effects of bilateral arm training (BAT) with unilateral arm training (UAT) and conventional therapy (CT) on the upper limb (UL) motor impairments and functional performance post-stroke, and (2) investigate the different contributing factors that may influence the success of BAT. A comprehensive literature search was performed in five databases. Randomized control trials (RCTs) that met inclusion criteria were selected and assessed for methodological qualities. Data relating to outcome measures, characteristics of participants (stroke chronicity and severity), and features of intervention (type of BAT and dose) were extracted for meta-analysis. With 25 RCTs meeting the inclusion criteria, BAT demonstrated significantly greater improvements in motor impairments as measured by Fugl-Meyer Assessment of Upper Extremity (FMA-UE) than CT (MD = 3.94, p = < 0.001), but not in functional performance as measured by the pooled outcomes of Action Research Arm Test (ARAT), Box and Block Test (BBT), and the time component of Motor Function Test (WMFT-time) (SMD = 0.28, p = 0.313). The superior motor impairment effects of BAT were associated with recruiting mildly impaired individuals in the chronic phase of stroke (MD = 6.71, p < 0.001), and applying a higher dose of intervention (MD = 6.52, p < 0.001). Subgroup analysis showed that bilateral functional task training (BFTT) improves both motor impairments (MD = 7.84, p < 0.001) and functional performance (SMD = 1.02, p = 0.049). No significant differences were detected between BAT and UAT for motor impairment (MD = -0.90, p = 0.681) or functional performance (SMD = -0.09, p = 0.457). Thus, our meta-analysis indicates that BAT may be more beneficial than CT in addressing post-stroke UL motor impairment, particularly in the chronic phase with mild UL paresis. The success of BAT may be dose-dependent, and higher doses of intervention may be required. BFTT appears to be a valuable form of BAT that could be integrated into stroke rehabilitation programs. BAT and UAT are generally equivalent in improving UL motor impairments and functional performance.
Collapse
Affiliation(s)
- Siyun Chen
- College of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Engineering Research Center of Traditional Chinese Medicine Intelligent Rehabilitation, Ministry of Education, Shanghai, China
- Department of Rehabilitation and Regenerative Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, United States
| | - Yuqi Qiu
- School of Statistics, East China Normal University, Shanghai, China
- Division of Biostatistics and Bioinformatics, University of California, San Diego, La Jolla, CA, United States
| | - Clare C. Bassile
- Department of Rehabilitation and Regenerative Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, United States
| | - Anita Lee
- Department of Rehabilitation and Regenerative Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, United States
| | - Ruifeng Chen
- Division of Biostatistics and Bioinformatics, University of California, San Diego, La Jolla, CA, United States
| | - Dongsheng Xu
- College of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Engineering Research Center of Traditional Chinese Medicine Intelligent Rehabilitation, Ministry of Education, Shanghai, China
| |
Collapse
|
9
|
Hsu HY, Kuo LC, Lin YC, Su FC, Yang TH, Lin CW. Effects of a Virtual Reality-Based Mirror Therapy Program on Improving Sensorimotor Function of Hands in Chronic Stroke Patients: A Randomized Controlled Trial. Neurorehabil Neural Repair 2022; 36:335-345. [PMID: 35341360 DOI: 10.1177/15459683221081430] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Background. Embedding mirror therapy within a virtual reality (VR) system may have a superior effect on motor remediation for chronic stroke patients. Objective. The objective is to investigate the differences in the effects of using conventional occupational therapy (COT), mirror therapy (MT), and VR-based MT (VR-MT) training on the sensorimotor function of the upper limb in chronic stroke patients. Methods. This was a single-blinded randomized controlled trial. A total of 54 participants, including chronic stroke patients, were randomized into a COT, MT, or VR-MT group. In addition to 20-minute sessions of task-specific training, patients received programs of 30 minutes of VR-MT, 30 minutes of MT, and 30 minutes of COT, respectively, in the VR-MT, MT, and COT groups twice a week for 9 weeks. The Fugl-Meyer motor assessment for the upper extremities (FM-UE; primary outcome), Semmes-Weinstein monofilament, motor activity log, modified Ashworth scale, and the box and block test were recorded at pre-treatment, post-intervention, and 12-week follow-up. Results. Fifty-two participants completed the study. There was no statistically significant group-by-time interaction effects on the FM-UE score (generalized estimating equations, (GEE), P = .075). Meanwhile, there were statistically significant group-by-time interaction effects on the wrist sub-score of the FM-UE (GEE, P = .012) and the result of box and block test (GEE, P = .044). Conclusions. VR-MT seemed to have potential effects on restoring the upper extremity motor function for chronic stroke patients. However, further confirmatory studies are warranted for the rather weak evidence of adding VR to MT on improving primary outcome of this study. Clinical trial registration: NCT03329417.
Collapse
Affiliation(s)
- Hsiu-Yun Hsu
- Department of Physical Medicine and Rehabilitation, 63461National Cheng Kung University Hospital, Tainan, Taiwan.,Department of Occupational Therapy, College of Medicine, 38026National Cheng Kung University, Tainan, Taiwan.,Medical Device Innovation Center, 34912National Cheng Kung University, Tainan, Taiwan
| | - Li-Chieh Kuo
- Department of Occupational Therapy, College of Medicine, 38026National Cheng Kung University, Tainan, Taiwan.,Medical Device Innovation Center, 34912National Cheng Kung University, Tainan, Taiwan.,Institute of Allied Health Sciences, College of Medicine, 38026National Cheng Kung University, Tainan, Taiwan
| | - Yu-Ching Lin
- Department of Physical Medicine and Rehabilitation, 63461National Cheng Kung University Hospital, Tainan, Taiwan.,Department of Physical Medicine and Rehabilitation, College of Medicine, 38026National Cheng Kung University, Tainan, Taiwan
| | - Fong-Chin Su
- Medical Device Innovation Center, 34912National Cheng Kung University, Tainan, Taiwan.,Department of Biomedical Engineering, College of Engineering, 201908National Cheng Kung University, Tainan, Taiwan
| | - Tai-Hua Yang
- Medical Device Innovation Center, 34912National Cheng Kung University, Tainan, Taiwan.,Department of Biomedical Engineering, College of Engineering, 201908National Cheng Kung University, Tainan, Taiwan.,Department of Orthopedics, National Cheng Kung University Hospital, College of Medicine, 63461National Cheng Kung University, Tainan, Taiwan
| | - Che-Wei Lin
- Medical Device Innovation Center, 34912National Cheng Kung University, Tainan, Taiwan.,Department of Biomedical Engineering, College of Engineering, 201908National Cheng Kung University, Tainan, Taiwan
| |
Collapse
|
10
|
Khalid S, Alnajjar F, Gochoo M, Renawi A, Shimoda S. Robotic assistive and rehabilitation devices leading to motor recovery in upper limb: a systematic review. Disabil Rehabil Assist Technol 2021:1-15. [PMID: 33861684 DOI: 10.1080/17483107.2021.1906960] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
PURPOSE Stroke, spinal cord injury and other neuromuscular disorders lead to impairments in the human body. Upper limb impairments, especially hand impairments affect activities of daily living (ADL) and reduce the quality of life. The purpose of this review is to compare and evaluate the available robotic rehabilitation and assistive devices that can lead to motor recovery or maintain the current motor functional level. METHODS A systematic review was conducted of the literature published in the years from 2016-2021, to focus on the most recent rehabilitation and assistive devices available in the market or research environments. RESULTS A total of 230 studies published between 2016 and 2021 were identified from various databases. 107 were excluded with various reasons. Twenty-eight studies were taken into detailed review, to determine the efficacy of robotic devices in improving upper limb impairments or maintaining the current level from getting worse. CONCLUSION It was concluded that with a good strategy and treatment plan; appropriate and regular use of these robotic rehabilitation and assistive devices do lead to improvements in current conditions of most of the subjects and prolonged use may lead to motor recovery.Implications for RehabilitationStroke, accidents, spinal cord injuries and other neuromuscular disorders lead to impairments. Upper limb impairments have a tremendous adverse affect on ADL and reduces quality of life drastically.Advancement in technology has led to the designing of many robotic assistive and rehabilitation devices to assist in motor recovery or aid in ADL.This review analyses different available devices for rehabilitation and assistance and points out that use of these devices in time does help in motor recovery. Most of the studies reviewed showed improvements for the user.Future devices should be more portable and easier to use from home.
Collapse
Affiliation(s)
- Sumayya Khalid
- College of Information Technology, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Fady Alnajjar
- College of Information Technology, United Arab Emirates University, Al Ain, United Arab Emirates.,Intelligent Behavior Control Unit, CBS-TOYOTA Collaboration Center, RIKEN, Nagoya, Japan
| | - Munkhjargal Gochoo
- College of Information Technology, United Arab Emirates University, Al Ain, United Arab Emirates.,School of Information and Communication Technology, Ulaanbaatar, Mongolia
| | | | - Shingo Shimoda
- Intelligent Behavior Control Unit, CBS-TOYOTA Collaboration Center, RIKEN, Nagoya, Japan
| |
Collapse
|
11
|
Wu J, Cheng H, Zhang J, Yang S, Cai S. Robot-Assisted Therapy for Upper Extremity Motor Impairment After Stroke: A Systematic Review and Meta-Analysis. Phys Ther 2021; 101:6103015. [PMID: 33454787 DOI: 10.1093/ptj/pzab010] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 07/31/2020] [Accepted: 12/06/2020] [Indexed: 01/02/2023]
Abstract
OBJECTIVE The purpose of this study was to review the effects of robot-assisted therapy (RT) for improving poststroke upper extremity motor impairment. METHODS The PubMed, Embase, Medline, and Web of Science databases were searched from inception to April 8, 2020. Randomized controlled trials that were conducted to evaluate the effects of RT on upper extremity motor impairment poststroke and that used Fugl-Meyer assessment for upper extremity scores as an outcome were included. Two authors independently screened articles, extracted data, and assessed the methodological quality of the included studies using the Physiotherapy Evidence Database (PEDro) scale. A random-effects meta-analysis was performed to pool the effect sizes across the studies. RESULTS Forty-one randomized controlled trials with 1916 stroke patients were included. Compared with dose-matched conventional rehabilitation, RT significantly improved the Fugl-Meyer assessment for upper extremity scores of the patients with stroke, with a small effect size (Hedges g = 0.25; 95% CI, 0.11-0.38; I2 = 45.9%). The subgroup analysis revealed that the effects of unilateral RT, but not that of bilateral RT, were superior to conventional rehabilitation (Hedges g = 0.32; 95% CI, 0.15-0.50; I2 = 55.9%). Regarding the type of robot devices, the effects of the end effector device (Hedges g = 0.22; 95% CI, 0.09-0.36; I2 = 35.4%), but not the exoskeleton device, were superior to conventional rehabilitation. Regarding the stroke stage, the between-group difference (ie, RT vs convention rehabilitation) was significant only for people with late subacute or chronic stroke (Hedges g = 0.33; 95% CI, 0.16-0.50; I2 = 34.2%). CONCLUSION RT might be superior to conventional rehabilitation in improving upper extremity motor impairment in people after stroke with notable upper extremity hemiplegia and limited potential for spontaneous recovery.
Collapse
Affiliation(s)
- Jingyi Wu
- Rehabilitation Hospital affiliated to Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.,Fujian Key Laboratory of Rehabilitation Technology, Fuzhou, Fujian, China
| | - Hao Cheng
- Rehabilitation Hospital affiliated to Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.,Fujian Key Laboratory of Rehabilitation Technology, Fuzhou, Fujian, China
| | - Jiaqi Zhang
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Shanli Yang
- Rehabilitation Hospital affiliated to Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.,Fujian Key Laboratory of Rehabilitation Technology, Fuzhou, Fujian, China
| | - Sufang Cai
- Rehabilitation Hospital affiliated to Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.,Fujian Key Laboratory of Rehabilitation Technology, Fuzhou, Fujian, China
| |
Collapse
|
12
|
Carswell C, Rea PM. What the Tech? The Management of Neurological Dysfunction Through the Use of Digital Technology. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 1317:131-145. [PMID: 33945135 DOI: 10.1007/978-3-030-61125-5_7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Worldwide, it is estimated that millions of individuals suffer from a neurological disorder which can be the result of head injuries, ischaemic events such as a stroke, or neurodegenerative disorders such as Parkinson's disease (PD) and multiple sclerosis (MS). Problems with mobility and hemiparesis are common for these patients, making daily life, social factors and independence heavily affected. Current therapies aimed at improving such conditions are often tedious in nature, with patients often losing vital motivation and positive outlook towards their rehabilitation. The interest in the use of digital technology in neuro-rehabilitation has skyrocketed in the past decade. To gain insight, a systematic review of the literature in the field was conducting following the Preferred Reporting Items for Systematic Review and Meta-analyses (PRISMA) guidelines for three categories: stroke, Parkinson's disease and multiple sclerosis. It was found that the majority of the literature (84%) was in favour of the use of digital technologies in the management of neurological dysfunction; with some papers taking a "neutral" or "against" standpoint. It was found that the use of technologies such as virtual reality (VR), robotics, wearable sensors and telehealth was highly accepted by patients, helped to improve function, reduced anxiety and make therapy more accessible to patients living in more remote areas. The most successful therapies were those that used a combination of conventional therapies and new digital technologies.
Collapse
Affiliation(s)
- Caitlin Carswell
- Anatomy Facility, School of Life Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Paul M Rea
- School of Life Sciences, University of Glasgow, Glasgow, UK.
| |
Collapse
|