An electromyography signal enhancement for upper limb rehabilitation robot manipulator

• Published in: AIP conference proceedings Vol. 3161; no. 1
• Main Authors: Ali, A. S., Ibrahim, Z., Aziz, A., Ali, M. Y., Ramasenderan, N.
• Format: Journal Article Conference Proceeding
• Language: English
• Published: Melville American Institute of Physics 30.08.2024
• Subjects: Electromyography; Limbs; Rehabilitation robots; Robot arms
• ISSN: 0094-243X; 1551-7616
• DOI: 10.1063/5.0230019

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.