Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/77042
PIRA download icon_1.1View/Download Full Text
Title: The effects of upper-limb training assisted with an electromyography-driven neuromuscular electrical stimulation robotic hand on chronic stroke
Authors: Nam, C 
Rong, W 
Li, W 
Xie, Y 
Hu, X 
Zheng, Y 
Issue Date: 14-Dec-2017
Source: Frontiers in neurology, 14 Dec. 2017, v. 8, 679, p. 1-14
Abstract: Background: Impaired hand dexterity is a major disability of the upper limb after stroke. An electromyography (EMG)-driven neuromuscular electrical stimulation (NMES) robotic hand was designed previously, whereas its rehabilitation effects were not investigated. Objectives: This study aims to investigate the rehabilitation effectiveness of the EMG-driven NMES-robotic hand-assisted upper-limb training on persons with chronic stroke. Method: A clinical trial with single-group design was conducted on chronic stroke participants (n = 15) who received 20 sessions of EMG-driven NMES-robotic hand-assisted upper-limb training. The training effects were evaluated by pretraining, posttraining, and 3-month follow-up assessments with the clinical scores of the Fugl-Meyer Assessment (FMA), the Action Research Arm Test (ARAT), the Wolf Motor Function Test, the Motor Functional Independence Measure, and the Modified Ashworth Scale (MAS). Improvements in the muscle coordination across the sessions were investigated by EMG parameters, including EMG activation level and Co-contraction Indexes (CIs) of the target muscles in the upper limb. Results: Significant improvements in the FMA shoulder/elbow and wrist/hand scores (P < 0.05), the ARAT (P < 0.05), and in the MAS (P < 0.05) were observed after the training and sustained 3 months later. The EMG parameters indicated a significant decrease of the muscle activation level in flexor digitorum (FD) and biceps brachii (P < 0.05), as well as a significant reduction of CIs in the muscle pairs of FD and triceps brachii and biceps brachii and triceps brachii (P < 0.05). Conclusion: The upper-limb training integrated with the assistance from the EMG-driven NMES-robotic hand is effective for the improvements of the voluntary motor functions and the muscle coordination in the proximal and distal joints. Furthermore, the motor improvement after the training could be maintained till 3 months later.
Keywords: Hand
Neuromuscular electrical stimulation
Rehabilitation
Robot
Stroke
Publisher: Frontiers Research Foundation
Journal: Frontiers in neurology 
ISSN: 1664-2295
EISSN: 1664-2295
DOI: 10.3389/fneur.2017.00679
Rights: Copyright © 2017 Nam, Rong, Li, Xie, Hu and Zheng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
The following publication Nam C, Rong W, Li W, Xie Y, Hu X and Zheng Y (2017) The Effects of Upper-Limb Training Assisted with an Electromyography-Driven Neuromuscular Electrical Stimulation Robotic Hand on Chronic Stroke. Front. Neurol. 8:679,1-14 is available at https://dx.doi.org/10.3389/fneur.2017.00679
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
Nam_Upper-limb_Training_Electromyography-driven.pdf947.9 kBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

137
Last Week
2
Last month
Citations as of Apr 21, 2024

Downloads

88
Citations as of Apr 21, 2024

SCOPUSTM   
Citations

35
Last Week
0
Last month
Citations as of Apr 19, 2024

WEB OF SCIENCETM
Citations

33
Last Week
0
Last month
Citations as of Apr 25, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.