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García-Alén L, Kumru H, Castillo-Escario Y, Benito-Penalva J, Medina-Casanovas J, Gerasimenko YP, Edgerton VR, García-Alías G, Vidal J. Transcutaneous Cervical Spinal Cord Stimulation Combined with Robotic Exoskeleton Rehabilitation for the Upper Limbs in Subjects with Cervical SCI: Clinical Trial. Biomedicines 2023; 11:biomedicines11020589. [PMID: 36831125 PMCID: PMC9953486 DOI: 10.3390/biomedicines11020589] [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: 12/18/2022] [Revised: 02/06/2023] [Accepted: 02/13/2023] [Indexed: 02/18/2023] Open
Abstract
(1) Background: Restoring arm and hand function is a priority for individuals with cervical spinal cord injury (cSCI) for independence and quality of life. Transcutaneous spinal cord stimulation (tSCS) promotes the upper extremity (UE) motor function when applied at the cervical region. The aim of the study was to determine the effects of cervical tSCS, combined with an exoskeleton, on motor strength and functionality of UE in subjects with cSCI. (2) Methods: twenty-two subjects participated in the randomized mix of parallel-group and crossover clinical trial, consisting of an intervention group (n = 15; tSCS exoskeleton) and a control group (n = 14; exoskeleton). The assessment was carried out at baseline, after the last session, and two weeks after the last session. We assessed graded redefined assessment of strength, sensibility, and prehension (GRASSP), box and block test (BBT), spinal cord independence measure III (SCIM-III), maximal voluntary contraction (MVC), ASIA impairment scale (AIS), and WhoQol-Bref; (3) Results: GRASSP, BBT, SCIM III, cylindrical grip force and AIS motor score showed significant improvement in both groups (p ≤ 0.05), however, it was significantly higher in the intervention group than the control group for GRASSP strength, and GRASSP prehension ability (p ≤ 0.05); (4) Conclusion: our findings show potential advantages of the combination of cervical tSCS with an exoskeleton to optimize the outcome for UE.
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Affiliation(s)
- Loreto García-Alén
- Fundación Institut Guttmann, Institut Universitari de Neurorrehabilitació Adscrit a la UAB, 08916 Badalona, Spain
- Universitat Autónoma de Barcelona, 08193 Barcelona, Spain
| | - Hatice Kumru
- Fundación Institut Guttmann, Institut Universitari de Neurorrehabilitació Adscrit a la UAB, 08916 Badalona, Spain
- Universitat Autónoma de Barcelona, 08193 Barcelona, Spain
- Fundació Institut d’Investigació en Ciéncies de la Salut Germans Trias i Pujol, 08916 Badalona, Spain
- Correspondence:
| | - Yolanda Castillo-Escario
- Institute for Bioengineering of Catalonia, Barcelona Institute of Science and Technology, 08028 Barcelona, Spain
- Department of Automatic Control, Universitat Politécnica de Catalunya-Barcelona Tech (UPC), 08028 Barcelona, Spain
- Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina, 28029 Madrid, Spain
| | - Jesús Benito-Penalva
- Fundación Institut Guttmann, Institut Universitari de Neurorrehabilitació Adscrit a la UAB, 08916 Badalona, Spain
- Universitat Autónoma de Barcelona, 08193 Barcelona, Spain
- Fundació Institut d’Investigació en Ciéncies de la Salut Germans Trias i Pujol, 08916 Badalona, Spain
| | - Josep Medina-Casanovas
- Fundación Institut Guttmann, Institut Universitari de Neurorrehabilitació Adscrit a la UAB, 08916 Badalona, Spain
- Universitat Autónoma de Barcelona, 08193 Barcelona, Spain
- Fundació Institut d’Investigació en Ciéncies de la Salut Germans Trias i Pujol, 08916 Badalona, Spain
| | - Yury P. Gerasimenko
- Pavlov Institute of Physiology, St. Petersburg 199034, Russia
- Department of Physiology and Biophysics, University of Louisville, Louisville, KY 40292, USA
- Kentucky Spinal Cord Injury Research Center, University of Louisville, Louisville, KY 40292, USA
| | - Victor Reggie Edgerton
- Rancho Research Institute, Los Amigos National Rehabilitation Center, Downey, CA 90242, USA
| | - Guillermo García-Alías
- Fundación Institut Guttmann, Institut Universitari de Neurorrehabilitació Adscrit a la UAB, 08916 Badalona, Spain
- Departament de Biologia Cel·lular, Fisiologia i Immunologia & Insititute of Neuroscience, Universitat Autónoma de Barcelona, Bellaterra, 08193 Barcelona, Spain
| | - Joan Vidal
- Fundación Institut Guttmann, Institut Universitari de Neurorrehabilitació Adscrit a la UAB, 08916 Badalona, Spain
- Universitat Autónoma de Barcelona, 08193 Barcelona, Spain
- Fundació Institut d’Investigació en Ciéncies de la Salut Germans Trias i Pujol, 08916 Badalona, Spain
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Zuccon G, Lenzo B, Bottin M, Rosati G. Rehabilitation robotics after stroke: a bibliometric literature review. Expert Rev Med Devices 2022; 19:405-421. [PMID: 35786139 DOI: 10.1080/17434440.2022.2096438] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
INTRODUCTION Stroke is the leading cause of long-term disability in developed countries. Due to population aging, the number of people requiring rehabilitation after stroke is going to rise in the coming decades. Robot-mediated neurorehabilitation has the potential to improve clinical outcomes of rehabilitation treatments. A statistical analysis of the literature aims to focus on the main trend of this topic. AREAS COVERED A bibliometric survey on post-stroke robotic rehabilitation was performed through a database collection of scientific publications in the field of rehabilitation robotics. By covering the last 20 years, 17429 sources were collected. Relevant patterns and statistics concerning the main research areas were analyzed. Leading journals and conferences which publish and disseminate knowledge in the field were identified. A detailed nomenclature study was carried out. The time trends of the research field were captured. Opinions and predictions of future trends that are expected to shape the near future of the field were discussed. EXPERT OPINION Data analysis reveals the continuous expansion of the research field over the last two decades, which is expected to rise considerably in near future. More attention will be paid to the lower limbs rehabilitation and disease/design specific applications in early-stage patients.
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Affiliation(s)
- Giacomo Zuccon
- Department of Industrial Engineering, University of Padua, Padua, Italy
| | - Basilio Lenzo
- Department of Industrial Engineering, University of Padua, Padua, Italy
| | - Matteo Bottin
- Department of Industrial Engineering, University of Padua, Padua, Italy
| | - Giulio Rosati
- Department of Industrial Engineering, University of Padua, Padua, Italy
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Muscle weakness assessment tool for automated therapy selection in elbow rehabilitation. ROBOTICA 2022. [DOI: 10.1017/s0263574722000844] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Abstract
Clinical observations and subjective judgements have traditionally been used to evaluate patients with muscular and neurological disorders. As a result, identifying and analyzing functional improvements are difficult, especially in the absence of expertise. Quantitative assessment, which serves as the motivation for this study, is an essential prerequisite to forecast the task of the rehabilitation device in order to develop rehabilitation training. This work provides a quantitative assessment tool for muscle weakness in the human upper limbs for robotic-assisted rehabilitation. The goal is to map the assessment metrics to the recommended rehabilitation exercises. Measurable interaction forces and muscle correlation factors are the selected parameters to design a framework for muscular nerve cell condition detection and appropriate limb trajectory selection. In this work, a data collection setup is intended for extracting muscle intervention and assessment using MyoMeter, Goniometer and surface electromyography data for upper limbs. Force signals and human physiological response data are evaluated and categorized to infer the relevant progress. Based upon the most influencing muscles, curve fitting is performed. Trajectory-based data points are collected through a scaled geometric Open-Sim musculoskeletal model that fits the subject’s anthropometric data. These data are found to be most suitable to prescribe relevant exercise and to design customized robotic assistance. Case studies demonstrate the approach’s efficacy, including optimally synthesized automated configuration for the desired trajectory.
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Joo MC, Jung KM, Kim JH, Jung YJ, Chang WN, Shin HJ. Robot-Assisted Therapy Combined with Trunk Restraint in Acute Stroke Patients: A Randomized Controlled Study. J Stroke Cerebrovasc Dis 2022; 31:106330. [PMID: 35219973 DOI: 10.1016/j.jstrokecerebrovasdis.2022.106330] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 01/04/2022] [Accepted: 01/15/2022] [Indexed: 01/25/2023] Open
Abstract
BACKGROUND Reducing the compensatory mechanism by restraining unnecessary trunk movements may help enhance the effectiveness of robot-assisted therapy. OBJECTIVE This study aimed to investigate the effects of robot-assisted therapy in combination with trunk restraint on upper extremity function and on daily activities in patients with acute stroke (≤ 30days of onset). METHODS Thirty-six acute stroke patients were randomly assigned to an experimental (n=18) or control (n=18) group. The experimental group performed robot-assisted therapy combined with trunk restraint, while the control group performed only robot-assisted therapy. Both groups were treated for 30 min, 5 days a week, for a total of 3 weeks. The outcome measures included the Fugl-Meyer assessment upper extremity, wolf motor function test, motor activity log, upper extremity muscle strength, and modified Barthel index. RESULTS After the intervention, both groups showed significant improvements in Fugl-Meyer assessment upper extremity, wolf motor function test, motor activity log, elbow extensor muscle strength, and modified Barthel index (p < 0.05). Post-intervention, the experimental group exhibited greater changes in the Fugl-Meyer assessment upper extremity, motor activity log, and elbow extensor muscle strength (p < 0.05). CONCLUSION Our study suggests that robot-assisted therapy in combination with trunk restraint is more effective for improving upper extremity function than only robot-assisted therapy in acute stroke patients.
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Affiliation(s)
- Min-Cheol Joo
- Department of Rehabilitation Medicine and Institute of Wonkwang Medical Science, Wonkwang University School of Medicine and Hospital, Iksan, South Korea
| | - Kyeoung-Man Jung
- Department of Physical Therapy, Wonkwang University Hospital, Iksan, South Korea.
| | - Ji-Hee Kim
- Department of Rehabilitation Medicine, Wonkwang University Medical School and Hospital, Iksan, South Korea
| | - Yu-Jin Jung
- Department of Occupational Therapy, Wonkwang University Hospital, Iksan, South Korea
| | - Woo-Nam Chang
- Department of Physical Therapy, College of Health & Welfare Science, Yong-In University, Gyeonggi, South Korea
| | - Hyeon-Jin Shin
- Department of Occupational Therapy, Wonkwang University Hospital, Iksan, South Korea
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Rose CG, Deshpande AD, Carducci J, Brown JD. The road forward for upper-extremity rehabilitation robotics. CURRENT OPINION IN BIOMEDICAL ENGINEERING 2021. [DOI: 10.1016/j.cobme.2021.100291] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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Discussion on the Rehabilitation of Stroke Hemiplegia Based on Interdisciplinary Combination of Medicine and Engineering. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE 2021; 2021:6631835. [PMID: 33815554 PMCID: PMC7990546 DOI: 10.1155/2021/6631835] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 01/21/2021] [Accepted: 02/20/2021] [Indexed: 11/25/2022]
Abstract
Interdisciplinary combinations of medicine and engineering are part of the strategic plan of many universities aiming to be world-class institutions. One area in which these interactions have been prominent is rehabilitation of stroke hemiplegia. This article reviews advances in the last five years of stroke hemiplegia rehabilitation via interdisciplinary combination of medicine and engineering. Examples of these technologies include VR, RT, mHealth, BCI, tDCS, rTMS, and TCM rehabilitation. In this article, we will summarize the latest research in these areas and discuss the advantages and disadvantages of each to examine the frontiers of interdisciplinary medicine and engineering advances.
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Zheng Y, Mao YR, Yuan TF, Xu DS, Cheng LM. Multimodal treatment for spinal cord injury: a sword of neuroregeneration upon neuromodulation. Neural Regen Res 2020; 15:1437-1450. [PMID: 31997803 PMCID: PMC7059565 DOI: 10.4103/1673-5374.274332] [Citation(s) in RCA: 76] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Revised: 04/28/2019] [Accepted: 07/08/2019] [Indexed: 12/25/2022] Open
Abstract
Spinal cord injury is linked to the interruption of neural pathways, which results in irreversible neural dysfunction. Neural repair and neuroregeneration are critical goals and issues for rehabilitation in spinal cord injury, which require neural stem cell repair and multimodal neuromodulation techniques involving personalized rehabilitation strategies. Besides the involvement of endogenous stem cells in neurogenesis and neural repair, exogenous neural stem cell transplantation is an emerging effective method for repairing and replacing damaged tissues in central nervous system diseases. However, to ensure that endogenous or exogenous neural stem cells truly participate in neural repair following spinal cord injury, appropriate interventional measures (e.g., neuromodulation) should be adopted. Neuromodulation techniques, such as noninvasive magnetic stimulation and electrical stimulation, have been safely applied in many neuropsychiatric diseases. There is increasing evidence to suggest that neuromagnetic/electrical modulation promotes neuroregeneration and neural repair by affecting signaling in the nervous system; namely, by exciting, inhibiting, or regulating neuronal and neural network activities to improve motor function and motor learning following spinal cord injury. Several studies have indicated that fine motor skill rehabilitation training makes use of residual nerve fibers for collateral growth, encourages the formation of new synaptic connections to promote neural plasticity, and improves motor function recovery in patients with spinal cord injury. With the development of biomaterial technology and biomechanical engineering, several emerging treatments have been developed, such as robots, brain-computer interfaces, and nanomaterials. These treatments have the potential to help millions of patients suffering from motor dysfunction caused by spinal cord injury. However, large-scale clinical trials need to be conducted to validate their efficacy. This review evaluated the efficacy of neural stem cells and magnetic or electrical stimulation combined with rehabilitation training and intelligent therapies for spinal cord injury according to existing evidence, to build up a multimodal treatment strategy of spinal cord injury to enhance nerve repair and regeneration.
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Affiliation(s)
- Ya Zheng
- Rehabilitation Section, Spine Surgery Division of Department of Orthopedics, Tongji Hospital Affiliated to Tongji University School of Medicine, Shanghai, China
| | - Ye-Ran Mao
- Rehabilitation Section, Spine Surgery Division of Department of Orthopedics, Tongji Hospital Affiliated to Tongji University School of Medicine, Shanghai, China
| | - Ti-Fei Yuan
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Co-innovation Center of Neuroregeneration, Nantong University, Nantong, Jiangsu Province, China
| | - Dong-Sheng Xu
- Rehabilitation Section, Spine Surgery Division of Department of Orthopedics, Tongji Hospital Affiliated to Tongji University School of Medicine, Shanghai, China
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education of the People's Republic of China, Tongji University, Shanghai, China
| | - Li-Ming Cheng
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education of the People's Republic of China, Tongji University, Shanghai, China
- Spine Surgery Division of Department of Orthopedics, Tongji Hospital Affiliated to Tongji University School of Medicine, Shanghai, China
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Solaro C, Cattaneo D, Basteris A, Carpinella I, De Luca A, Mueller M, Bertoni R, Ferrarin M, Sanguineti V. Haptic vs sensorimotor training in the treatment of upper limb dysfunction in multiple sclerosis: A multi-center, randomised controlled trial. J Neurol Sci 2020; 412:116743. [PMID: 32145522 DOI: 10.1016/j.jns.2020.116743] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2019] [Revised: 02/11/2020] [Accepted: 02/17/2020] [Indexed: 10/25/2022]
Abstract
BACKGROUND In multiple sclerosis (MS) exercise improves upper limb functions, but it is unclear what training types are more effective. OBJECTIVE This study compares robot-assisted training based on haptic or sensorimotor exercise. METHODS 41clinically definite MS subjects with upper limb impairment were randomised into two groups: (i) Haptic and (ii) Sensorimotor. Subjects in the Haptic performed a robot-assisted training protocol designed to counteract incoordination and weakness. The task -interaction with a virtual mass-spring system against a resistive load- requires coordination skills. Task difficulty and magnitude of resistive load were automatically adjusted to the individual impairment. Subjects in the Sensorimotor performed reaching movements under visual control; the robot generated no forces. Both groups underwent eight training sessions (40 min/session, 2 sessions/week). Treatment outcome were 9HPT and ARAT scores. RESULTS The average 9HPT score decreased from 74±9 s to 61±8 s for the Haptic and from 49±6 s to 44±6 s. We found a significant Treatment (p=.0453) and Time differences (p=.005), but no significant Treatment×Time interactions although we found that the absolute change was only significant in the Haptic group (p=.011). We observed no significant changes in the ARAT score. Participants tolerated treatments well with a low drop-out rate. In the subjects evaluated at after 12 week (11 subject in sensory-motor and 17 in haptic group) no retention of the effect was found. CONCLUSIONS Task oriented training may improve upper limb function in persons with MS especially in prevalent pyramidal impaired subjects without maintain the effects after three months. CLINICAL TRIAL REGISTRATION NUMBER NCT02711566 (clinicaltrial.gov).
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Affiliation(s)
- Claudio Solaro
- Department of Rehabilitation, Mons L Novarese Hospital, Moncrivello, Italy; Department of Head and Neck, ASL 3 Genovese, Genoa, Italy.
| | - Davide Cattaneo
- Department of Neurorehabilitation, Don Gnocchi Foundation IRCCS, Milan, Italy
| | - Angelo Basteris
- Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, Genoa, Italy; Recover Injury Research Centre, Griffith University, Gold Coast, Australia
| | - Ilaria Carpinella
- Department of Biomedical Technology, Don Gnocchi Foundation IRCCS, Milan, Italy
| | - Alice De Luca
- Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, Genoa, Italy
| | - Margit Mueller
- Department of Head and Neck, ASL 3 Genovese, Genoa, Italy
| | - Rita Bertoni
- Department of Neurorehabilitation, Don Gnocchi Foundation IRCCS, Milan, Italy
| | - Maurizio Ferrarin
- Department of Biomedical Technology, Don Gnocchi Foundation IRCCS, Milan, Italy
| | - Vittorio Sanguineti
- Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, Genoa, Italy
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Cai S, Li G, Su E, Wei X, Huang S, Ma K, Zheng H, Xie L. Real-Time Detection of Compensatory Patterns in Patients With Stroke to Reduce Compensation During Robotic Rehabilitation Therapy. IEEE J Biomed Health Inform 2020; 24:2630-2638. [PMID: 31902785 DOI: 10.1109/jbhi.2019.2963365] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
OBJECTIVES Compensations are commonly employed by patients with stroke during rehabilitation without therapist supervision, leading to suboptimal recovery outcomes. This study investigated the feasibility of the real-time monitoring of compensation in patients with stroke by using pressure distribution data and machine learning algorithms. Whether trunk compensation can be reduced by combining the online detection of compensation and haptic feedback of a rehabilitation robot was also investigated. METHODS Six patients with stroke did three forms of reaching movements while pressure distribution data were recorded as Dataset1. A support vector machine (SVM) classifier was trained with features extracted from Dataset1. Then, two other patients with stroke performed reaching tasks, and the SVM classifier trained by Dataset1 was employed to classify the compensatory patterns online. Based on the real-time monitoring of compensation, a rehabilitation robot provided an assistive force to patients with stroke to reduce compensations. RESULTS Good classification performance (F1 score > 0.95) was obtained in both offline and online compensation analysis using the SVM classifier and pressure distribution data of patients with stroke. Based on the real-time detection of compensatory patterns, the angles of trunk rotation, trunk lean-forward and trunk-scapula elevation decreased by 46.95%, 32.35% and 23.75%, respectively. CONCLUSION High classification accuracies verified the feasibility of detecting compensation in patients with stroke based on pressure distribution data. Since the validity and reliability of the online detection of compensation has been verified, this classifier can be incorporated into a rehabilitation robot to reduce trunk compensations in patients with stroke.
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Adhikari V, MajidRad A, Yihun Y, Desai J. Assist-as-Needed Controller to a Task-based Knee Rehabilitation Exoskeleton. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2018; 2018:3212-3215. [PMID: 30441075 DOI: 10.1109/embc.2018.8512850] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
This research aims to design and implement an assist-as-needed controller and patient recovery tracking system into a novel task based knee rehabilitation exoskeleton device. The level of support from the exoskeleton is measured through the force sensing resistors (FSR) placed in the interface of lower- leg and the exoskeleton. The signal from the FSR is used as a feedback to control the actuator torque. The intent of the user to start, stop, move left, and right are associated with muscle activities, surface electromyography (sEMG) signals in the upper-leg. The preliminary results have shown that the system has provided the user a visual display of the amount of recovery and history while providing full autonomy to control the exoskeleton device. The successful implementation of these features can eliminate the need of constant supervision, and hence saves time and reduces cost of the rehabilitation process; which can also be used in a home-based or telerehabilitation settings.
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