Feature Selection Applying Statistical and Neurofuzzy Methods to EEG-Based BCI

This paper presents an investigation aimed at drastically reducing the processing burden required by motor imagery brain-computer interface (BCI) systems based on electroencephalography (EEG). In this research, the focus has moved from the channel to the feature paradigm, and a 96% reduction of the...

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Detalles Bibliográficos
Autores principales: Martinez-Leon, Juan-Antonio, Cano-Izquierdo, Jose-Manuel, Ibarrola, Julio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4419264/
https://www.ncbi.nlm.nih.gov/pubmed/25977685
http://dx.doi.org/10.1155/2015/781207

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4419264/
https://www.ncbi.nlm.nih.gov/pubmed/25977685
http://dx.doi.org/10.1155/2015/781207

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