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Classification of 41 Hand and Wrist Movements via Surface Electromyogram Using Deep Neural Network
Surface electromyography (sEMG) is a non-invasive and straightforward way to allow the user to actively control the prosthesis. However, results reported by previous studies on using sEMG for hand and wrist movement classification vary by a large margin, due to several factors including but not limi...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8220079/ https://www.ncbi.nlm.nih.gov/pubmed/34178951 http://dx.doi.org/10.3389/fbioe.2021.548357 |