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

• Main Author: KU ABD RAHIM, KU NURHANIM
• Format: Thesis
• Language: English
• Published: 2014
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• 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/

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...