Classification Of EMG Signal Based On Time Domain And Frequency Domain Features

• Main Authors: Too, Jing Wei, Abdullah, Abdul Rahim, Tengku Zawawi, Tengku Nor Shuhada, Mohd Saad, Norhashimah, Musa, Haslinda
• Format: Article
• Language: English
• Published: Universiti Teknikal Malaysia Melaka (UTeM) 2017
• Subjects: T Technology (General); TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utem.edu.my/id/eprint/22782/2/Classification%20of%20EMG%20Signal%20Based%20on%20Time%20Domain%20and%20Frequency%20Domain%20Features.pdf; http://eprints.utem.edu.my/id/eprint/22782/; http://journal.utem.edu.my/index.php/ijhati/article/view/2840

Electromyography (EMG) is widely used in controlling the signal in manipulating the robot assisted rehabilitation. In order to manipulate a more accurate robot assisted, the feature extraction and selection were equally important. This study evaluated the performance of time domain (TD) and frequenc...