DocumentCode :
2628615
Title :
An EMG-driven exoskeleton hand robotic training device on chronic stroke subjects: Task training system for stroke rehabilitation
Author :
Ho, N.S.K. ; Tong, K.Y. ; Hu, X.L. ; Fung, K.L. ; Wei, X.J. ; Rong, W. ; Susanto, E.A.
Author_Institution :
Dept. of Health Technol. & Inf., Hong Kong Polytech. Univ., Hong Kong, China
fYear :
2011
fDate :
June 29 2011-July 1 2011
Firstpage :
1
Lastpage :
5
Abstract :
An exoskeleton hand robotic training device is specially designed for persons after stroke to provide training on their impaired hand by using an exoskeleton robotic hand which is actively driven by their own muscle signals. It detects the stroke person´s intention using his/her surface electromyography (EMG) signals from the hemiplegic side and assists in hand opening or hand closing functional tasks. The robotic system is made up of an embedded controller and a robotic hand module which can be adjusted to fit for different finger length. Eight chronic stroke subjects had been recruited to evaluate the effects of this device. The preliminary results showed significant improvement in hand functions (ARAT) and upper limb functions (FMA) after 20 sessions of robot-assisted hand functions task training. With the use of this light and portable robotic device, stroke patients can now practice more easily for the opening and closing of their hands at their own will, and handle functional daily living tasks at ease. A video is included together with this paper to give a demonstration of the hand robotic system on chronic stroke subjects and it will be presented in the conference.
Keywords :
electromyography; medical disorders; medical robotics; patient rehabilitation; EMG-driven exoskeleton hand robotic training device; chronic stroke; embedded controller; hand closing functional task; hand opening functional task; muscle signal; stroke rehabilitation; surface electromyography; task training system; Electromyography; Exoskeletons; Fingers; Joints; Muscles; Robots; Training; exoskeleton; hand; rehabilitation; robot; stroke; Adult; Electromyography; Female; Hand; Humans; Male; Middle Aged; Robotics; Stroke;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Rehabilitation Robotics (ICORR), 2011 IEEE International Conference on
Conference_Location :
Zurich
ISSN :
1945-7898
Print_ISBN :
978-1-4244-9863-5
Electronic_ISBN :
1945-7898
Type :
conf
DOI :
10.1109/ICORR.2011.5975340
Filename :
5975340
Link To Document :
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