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Unsupervised layer-wise feature extraction algorithm for surface electromyography based on information theory
Feature extraction is a key task in the processing of surface electromyography (SEMG) signals. Currently, most of the approaches tend to extract features with deep learning methods, and show great performance. And with the development of deep learning, in which supervised learning is limited by the...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9427327/ https://www.ncbi.nlm.nih.gov/pubmed/36051640 http://dx.doi.org/10.3389/fnins.2022.975131 |