Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1818
Title: Assistive control system using continuous myoelectric signal in robot-aided arm training for patients after stroke
Authors: Song, R
Tong, KYR
Hu, X
Li, L
Keywords: Arm tracking
Myoelectric control
Robot-assisted rehabilitation
Stoke
Issue Date: Aug-2008
Publisher: IEEE
Source: IEEE transactions on neural systems and rehabilitation engineering, Aug. 2008, v. 16, no. 4, p. 371-379 How to cite?
Journal: IEEE transactions on neural systems and rehabilitation engineering 
Abstract: In some stroke rehabilitation programs, robotic systems have been used to aid the patient to train. In this study, a myoelectrically controlled robotic system with 1 degree-of-freedom was developed to assist elbow training in a horizontal plane with intention involvement for people after stroke. The system could provide continuous assistance in extension torque, which was proportional to the amplitude of the subject’s electromyographic (EMG) signal from the triceps, and could provide resistive torques during movement. This study investigated the system’s effect on restoring the upper limb functions of eight subjects after chronic stroke in a twenty-session rehabilitation training program. In each session, there were 18 trials comprising different combinations of assistive and resistive torques and an evaluation trial. Each trial consisted of five cycles of repetitive elbow flexion and extension between 90° and 0° at a constant velocity of 10°/s. With the assistive extension torque, subjects could reach a more extended position in the first session. After 20 sessions of training, there were statistically significant improvements in the modified Ashworth scale, Fugl–Meyer scale for shoulder and elbow, motor status scale, elbow extension range, muscle strength, and root mean square error between actual elbow angle and target angle. The results showed that the twenty-session training program improved upper limb functions.
URI: http://hdl.handle.net/10397/1818
ISSN: 1534-4320
DOI: 10.1109/TNSRE.2008.926707
Rights: © 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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