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

Internet

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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