Reducing Response Time in Motor Imagery Using A Headband and Deep Learning †

Electroencephalography (EEG) signals to detect motor imagery have been used to help patients with low mobility. However, the regular brain computer interfaces (BCI) capturing the EEG signals usually require intrusive devices and cables linked to machines. Recently, some commercial low-intrusive BCI...

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Detalles Bibliográficos
Autores principales: Garcia-Moreno, Francisco M., Bermudez-Edo, Maria, Garrido, José Luis, Rodríguez-Fórtiz, María José
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7728142/
https://www.ncbi.nlm.nih.gov/pubmed/33255578
http://dx.doi.org/10.3390/s20236730

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7728142/
https://www.ncbi.nlm.nih.gov/pubmed/33255578
http://dx.doi.org/10.3390/s20236730

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