P300 Detection Based on EEG Shape Features

We present a novel approach to describe a P300 by a shape-feature vector, which offers several advantages over the feature vector used by the BCI2000 system. Additionally, we present a calibration algorithm that reduces the dimensionality of the shape-feature vector, the number of trials, and the el...

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Detalles Bibliográficos
Autores principales: Alvarado-González, Montserrat, Garduño, Edgar, Bribiesca, Ernesto, Yáñez-Suárez, Oscar, Medina-Bañuelos, Verónica
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4736976/
https://www.ncbi.nlm.nih.gov/pubmed/26881010
http://dx.doi.org/10.1155/2016/2029791

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4736976/
https://www.ncbi.nlm.nih.gov/pubmed/26881010
http://dx.doi.org/10.1155/2016/2029791

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