Machine Learning for Detection of Muscular Activity from Surface EMG Signals

Background: Muscular-activity timing is useful information that is extractable from surface EMG signals (sEMG). However, a reference method is not available yet. The aim of this study is to investigate the reliability of a novel machine-learning-based approach (DEMANN) in detecting the onset/offset...

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Detalles Bibliográficos
Autores principales: Di Nardo, Francesco, Nocera, Antonio, Cucchiarelli, Alessandro, Fioretti, Sandro, Morbidoni, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9103856/
https://www.ncbi.nlm.nih.gov/pubmed/35591084
http://dx.doi.org/10.3390/s22093393

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9103856/
https://www.ncbi.nlm.nih.gov/pubmed/35591084
http://dx.doi.org/10.3390/s22093393

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