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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...

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Detalles Bibliográficos
Autores principales: Li, Mingqiang, Liu, Ziwen, Tang, Siqi, Ge, Jianjun, Zhang, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
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