Enhancing prosthetic control: neural network classification of thumb muscle contraction using HD-sEMG signals

• Main Authors: Suhaimi, Muhammad Mukhlis, Ghazali, Aimi Shazwani, Haja Mohideen, Ahmad Jazlan, Hafizalshah, Muhammad Hariz, Sidek, Shahrul Na'im
• Format: Article
• Language: English; English; English
• Published: IIUM Press 2024
• Subjects: TK7885 Computer engineering
• Online Access: http://irep.iium.edu.my/113455/1/113455_Enhancing%20prosthetic%20control.pdf; http://irep.iium.edu.my/113455/7/113455_Enhancing%20prosthetic%20control_SCOPUS.pdf; http://irep.iium.edu.my/113455/8/113455_Enhancing%20prosthetic%20control_WOS.pdf; http://irep.iium.edu.my/113455/; https://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/3029

The progression of prosthetic technology, enabling precise thumb control and movement, has reached a stage where noninvasive techniques for capturing bioelectrical signals from muscle activity are preferred over alternative methods. While electromyography's applications extend beyond just inter...