Latent Factors Limiting the Performance of sEMG-Interfaces

Recent advances in recording and real-time analysis of surface electromyographic signals (sEMG) have fostered the use of sEMG human–machine interfaces for controlling personal computers, prostheses of upper limbs, and exoskeletons among others. Despite a relatively high mean performance, sEMG-interf...

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Detalles Bibliográficos
Autores principales: Lobov, Sergey, Krilova, Nadia, Kastalskiy, Innokentiy, Kazantsev, Victor, Makarov, Valeri A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948532/
https://www.ncbi.nlm.nih.gov/pubmed/29642410
http://dx.doi.org/10.3390/s18041122

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948532/
https://www.ncbi.nlm.nih.gov/pubmed/29642410
http://dx.doi.org/10.3390/s18041122

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