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

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 inte...

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Bibliographic Details
Main Authors: Muhammad Mukhlis Suhaimi, Aimi Shazwani Ghazali, Ahmad Jazlan Haja Mohideen, Muhammad Hariz Hafizalshah, Shahrul Na'im Sidek
Format: Article
Language:English
Published: IIUM Press, International Islamic University Malaysia 2024-07-01
Series:International Islamic University Malaysia Engineering Journal
Subjects:
Thumb Posture
High-Density Surface Electromyogram (HD-sEMG)
Forearm Muscle
Classification
Online Access:https://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/3029

Internet

https://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/3029

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