Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/38071
Title: An EMG-driven exoskeleton hand robotic training device on chronic stroke subjects : task training system for stroke rehabilitation
Authors: Ho, NSK
Tong, KY 
Hu, XL
Fung, KL
Wei, XJ
Rong, W
Susanto, EA
Keywords: Exoskeleton
Hand
Rehabilitation
Robot
Stroke
Issue Date: 2011
Source: 2011 IEEE 12th International Conference on Rehabilitation Robotics (ICORR 2011) , Zurich, Switzerland, 28 June to July 1, 2011, p. 1-5 How to cite?
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.
URI: http://hdl.handle.net/10397/38071
ISBN: 978-1-4244-9863-5
978-1-4244-9861-1 (E-ISBN)
DOI: 10.1109/ICORR.2011.5975340
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