JOINT TORQUEESTIMATION OF sEMG SIGNALS BASED ON INTELLIGENT TECHNIQUES FOR ROBOTIC ASSISTIVE SYSTEM

Stroke is the leading cause of disability of people that influences the quality of their daily life where an effective method is required for post-stroke rehabilitation. Research has shown that robot is a good alternative where the electromyography (EMG) signals have been proposed as an input to...

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Main Author: KU ABD RAHIM, KU NURHANIM
Format: Thesis
Language: English
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-utpedia.21123 /
Published: 2014
Subjects:
Online Access: http://utpedia.utp.edu.my/21123/1/2014%20-%20ELECTRICAL%20-%20JOINT%20TORQUEESTIMATION%20OF%20sEMG%20SIGNALS%20BASED%20ON%20INTELLIGENT%20TECHNIQUES%20FOR%20ROBOTIC%20ASSISTIVE%20SYSTEM%20-%20KU%20NURHANIM%20BT%20KU%20ABD%20RAHIM.pdf
http://utpedia.utp.edu.my/21123/
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