An artificial EMG generation model based on signal-dependent noise and related application to motion classification

This paper proposes an artificial electromyogram (EMG) signal generation model based on signal-dependent noise, which has been ignored in existing methods, by introducing the stochastic construction of the EMG signals. In the proposed model, an EMG signal variance value is first generated from a pro...

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Detalles Bibliográficos
Autores principales: Furui, Akira, Hayashi, Hideaki, Nakamura, Go, Chin, Takaaki, Tsuji, Toshio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5481033/
https://www.ncbi.nlm.nih.gov/pubmed/28640883
http://dx.doi.org/10.1371/journal.pone.0180112

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5481033/
https://www.ncbi.nlm.nih.gov/pubmed/28640883
http://dx.doi.org/10.1371/journal.pone.0180112

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