Joint torque estimation model of SEMG signal for arm rehabilitation device using artificial neural network techniques

• Main Authors: Jali, Mohd Hafiz, Ahmad Izzuddin, Tarmizi, Bohari, Zul Hasrizal, Hafez, Sarkawi, Sulaima, Mohamad Fani, Baharom, Mohamad Faizal, Wan Daud, Wan Mohd Bukhari
• Format: Article
• Language: English
• Published: ARPN Publisher 2014
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utem.edu.my/id/eprint/12997/1/ARPN_JOINT_TORQUE_ESTIMATION_MODEL_OF_SEMG_SIGNAL_FOR_ARM_REHABILITATION_DEVICE_USING_ARTIFICIAL_NEURAL_NETWORK_TECHNIQUES.pdf; http://eprints.utem.edu.my/id/eprint/12997/; http://www.arpnjournals.com/jeas/research_papers/rp_2014/jeas_0714_1159.pdf

Rehabilitation device is used as an exoskeleton for peoples who had failure of their limb. Arm rehabilitation device may help the rehab program to who suffered with arm disability. The device is used to facilitate the tasks of the program and minimize the mental effort of the user. Electromyography...