Robust Muscle Activity Onset Detection Using an Unsupervised Electromyogram Learning Framework

Accurate muscle activity onset detection is an essential prerequisite for many applications of surface electromyogram (EMG). This study presents an unsupervised EMG learning framework based on a sequential Gaussian mixture model (GMM) to detect muscle activity onsets. The distribution of the logarit...

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Detalles Bibliográficos
Autores principales: Liu, Jie, Ying, Dongwen, Rymer, William Z., Zhou, Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4454555/
https://www.ncbi.nlm.nih.gov/pubmed/26038820
http://dx.doi.org/10.1371/journal.pone.0127990

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4454555/
https://www.ncbi.nlm.nih.gov/pubmed/26038820
http://dx.doi.org/10.1371/journal.pone.0127990

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