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An electromyography signal enhancement for upper limb rehabilitation robot manipulator.

Authors :
Ali, A. S.
Ibrahim, Z.
Aziz, A.
Ali, M. Y.
Ramasenderan, N.
Source :
AIP Conference Proceedings. 2024, Vol. 3161 Issue 1, p1-7. 7p.
Publication Year :
2024

Abstract

Continuous advancements in medical diagnostics and therapies drive progress within the field. Individuals recovering from upper limb injuries due to stroke benefit from rehabilitation exercises to restore function and regain daily activities. Addressing this need, there's an urgent demand for a cooperative robot-assisted prototype tailored for upper limb rehabilitation, capable of devising safe training programs. This study delved into Electromyography (EMG) signal patterns of the right deltoids in nine healthy subjects. Tasks included horizontal abductions, adductions, elbow flexions, and extensions, each performed for 30 seconds, both freely and with robotic assistance. Results revealed EMG signals during robotic assistance closely resembled those without, suggesting the effectiveness of these movement sequences in stroke rehabilitation. Further refinement through patient trials promises even more precise outcomes. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0094243X
Volume :
3161
Issue :
1
Database :
Academic Search Index
Journal :
AIP Conference Proceedings
Publication Type :
Conference
Accession number :
179375260
Full Text :
https://doi.org/10.1063/5.0230019