Open Database for Accurate Upper-Limb Intent Detection Using Electromyography and Reliable Extreme Learning Machines

Surface Electromyography (sEMG) signal processing has a disruptive technology potential to enable a natural human interface with artificial limbs and assistive devices. However, this biosignal real-time control interface still presents several restrictions such as control limitations due to a lack o...

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Detalles Bibliográficos
Autores principales: Cene, Vinicius Horn, Tosin, Mauricio, Machado, Juliano, Balbinot, Alexandre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6515272/
https://www.ncbi.nlm.nih.gov/pubmed/31003524
http://dx.doi.org/10.3390/s19081864

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6515272/
https://www.ncbi.nlm.nih.gov/pubmed/31003524
http://dx.doi.org/10.3390/s19081864

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