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      Home-based self-help telerehabilitation of the upper limb assisted by an electromyography-driven wrist/hand exoneuromusculoskeleton after stroke

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          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.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12984-021-00930-3.

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          Most cited references76

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            An Analysis of Variance Test for Normality (Complete Samples)

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              Motor recovery after stroke: a systematic review.

              Loss of functional movement is a common consequence of stroke for which a wide range of interventions has been developed. In this Review, we aimed to provide an overview of the available evidence on interventions for motor recovery after stroke through the evaluation of systematic reviews, supplemented by recent randomised controlled trials. Most trials were small and had some design limitations. Improvements in recovery of arm function were seen for constraint-induced movement therapy, electromyographic biofeedback, mental practice with motor imagery, and robotics. Improvements in transfer ability or balance were seen with repetitive task training, biofeedback, and training with a moving platform. Physical fitness training, high-intensity therapy (usually physiotherapy), and repetitive task training improved walking speed. Although the existing evidence is limited by poor trial designs, some treatments do show promise for improving motor recovery, particularly those that have focused on high-intensity and repetitive task-specific practice.
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                Author and article information

                Contributors
                16902874r@connect.polyu.hk
                bingbing.zhang@connect.polyu.hk
                tszying.chow@connect.polyu.hk
                fuqiang.ye@connect.polyu.hk
                yanhuan.j.huang@connect.polyu.hk
                tank.guo@connect.polyu.hk
                deo-li@hotmail.com
                rongwei@live.com
                xiaoling.hu@polyu.edu.hk
                wpoon@cuhk.edu.hk
                Journal
                J Neuroeng Rehabil
                J Neuroeng Rehabil
                Journal of NeuroEngineering and Rehabilitation
                BioMed Central (London )
                1743-0003
                15 September 2021
                15 September 2021
                2021
                : 18
                : 137
                Affiliations
                [1 ]GRID grid.16890.36, ISNI 0000 0004 1764 6123, Department of Biomedical Engineering, , The Hong Kong Polytechnic University, ; Hong Kong, China
                [2 ]GRID grid.10784.3a, ISNI 0000 0004 1937 0482, Department of Surgery, , Prince of Wales Hospital, The Chinese University of Hong Kong, ; Hong Kong, China
                [3 ]GRID grid.16890.36, ISNI 0000 0004 1764 6123, The Hong Kong Polytechnic University Shenzhen Research Institute, ; Shenzhen, 518034 China
                Author information
                http://orcid.org/0000-0003-3188-3005
                Article
                930
                10.1186/s12984-021-00930-3
                8442816
                33397401
                714d6971-495d-41c5-97b2-8b81e2711ead
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 16 January 2021
                : 31 August 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: NSFC 81771959
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100007156, Innovation and Technology Commission - Hong Kong;
                Award ID: ITS/073/16
                Award ID: ITT/005/19GP
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2021

                Neurosciences
                stroke,robot,rehabilitation,home training,telerehabilitation
                Neurosciences
                stroke, robot, rehabilitation, home training, telerehabilitation

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