Enhancing Prosthetic Control: Neural Network Classification of Thumb Muscle Contraction Using HD-sEMG Signals

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 interfaci...

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Bibliografiske detaljer

Principais autores:	Muhammad Mukhlis Suhaimi, Aimi Shazwani Ghazali, Ahmad Jazlan Haja Mohideen, Muhammad Hariz Hafizalshah, Shahrul Na'im Sidek
Format:	Artigo
Sprog:	Inglês
Udgivet:	IIUM Press, International Islamic University Malaysia 2024-07-01
Serier:	International Islamic University Malaysia Engineering Journal
Fag:	Thumb Posture High-Density Surface Electromyogram (HD-sEMG) Forearm Muscle Classification
Online adgang:	https://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/3029
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