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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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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5481033/ https://ncbi.nlm.nih.gov/pubmed/28640883 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0180112 |
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