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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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IIUM Press, International Islamic University Malaysia
2024-07-01
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| coleção: | International Islamic University Malaysia Engineering Journal |
| Assuntos: | |
| Acesso em linha: | https://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/3029 |
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