Joint torque estimation model of sEMG signal for arm rehabilitation device using artificial neural network technique

Jali, Mohd Hafiz and Ahmad Izzuddin, Tarmizi and Bohari, Zul Hasrizal and Sarkawi, Hafez and Sulaima, Mohamad Fani and Baharom, Mohamad Faizal and Daud, W.B (2015) Joint torque estimation model of sEMG signal for arm rehabilitation device using artificial neural network technique. Springer International Publishing Switzerland. pp. 671-682. ISSN 10.1007/978-3-319-07674-4_63

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Abstract

Rehabilitation device is used as an exoskeleton for peoples who had failure of their limb. Arm rehabilitation device may help the rehab program to whom suffered with arm disability. The device is used to facilitate the tasks of the program and minimize the mental effort of the user. Electromyography (EMG) is the techniques to analyze the presence of electrical activity in musculoskeletal systems. The electrical activity in muscles of disable person is failed to contract the muscle for movements. To minimize the used of mental forced for disable patients, the rehabilitation device can be utilize by analyzing the surface EMG signal of normal people that can be implemented to the device. The objective of this work is to model the muscle EMG signal to torque for a motor control of the arm rehabilitation device using Artificial Neural Network (ANN) technique.

Item Type: Article
Uncontrolled Keywords: torque, artificial neural network technique
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Electrical Engineering > Department of Diploma Studies
Depositing User: MOHD HAFIZ JALI
Date Deposited: 14 Dec 2015 03:35
Last Modified: 14 Dec 2015 03:35
URI: http://eprints.utem.edu.my/id/eprint/15381
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