A Muscle Fatigue Classification Model Based on LSTM and Improved Wavelet Packet Threshold

Previous studies have used the anaerobic threshold (AT) to non-invasively predict muscle fatigue. This study proposes a novel method for the automatic classification of muscle fatigue based on surface electromyography (sEMG). The sEMG data were acquired from 20 participants during an incremental tes...

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Detalles Bibliográficos
Autores principales: Wang, Junhong, Sun, Shaoming, Sun, Yining
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8512101/
https://www.ncbi.nlm.nih.gov/pubmed/34640689
http://dx.doi.org/10.3390/s21196369

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8512101/
https://www.ncbi.nlm.nih.gov/pubmed/34640689
http://dx.doi.org/10.3390/s21196369

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