Personalized Offline and Pseudo-Online BCI Models to Detect Pedaling Intent

The aim of this work was to design a personalized BCI model to detect pedaling intention through EEG signals. The approach sought to select the best among many possible BCI models for each subject. The choice was between different processing windows, feature extraction algorithms and electrode confi...

Descripción completa

Detalles Bibliográficos
Autores principales: Rodríguez-Ugarte, Marisol, Iáñez, Eduardo, Ortíz, Mario, Azorín, Jose M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5504298/
https://www.ncbi.nlm.nih.gov/pubmed/28744212
http://dx.doi.org/10.3389/fninf.2017.00045

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5504298/
https://www.ncbi.nlm.nih.gov/pubmed/28744212
http://dx.doi.org/10.3389/fninf.2017.00045

Ejemplares similares