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Muscle Fatigue Analysis With Optimized Complementary Ensemble Empirical Mode Decomposition and Multi-Scale Envelope Spectral Entropy

The preprocessing of surface electromyography (sEMG) signals with complementary ensemble empirical mode decomposition (CEEMD) improves frequency identification precision and temporal resolution, and lays a good foundation for feature extraction. However, a mode-mixing problem often occurs when the C...

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Detalles Bibliográficos
Autores principales:	Zhao, Juan, She, Jinhua, Fukushima, Edwardo F., Wang, Dianhong, Wu, Min, Pan, Katherine
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2020
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7674835/ https://www.ncbi.nlm.nih.gov/pubmed/33250732 http://dx.doi.org/10.3389/fnbot.2020.566172

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