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Enhancing Performance of a Hybrid EEG-fNIRS System Using Channel Selection and Early Temporal Features

Brain-Computer Interface (BCI) techniques hold a great promise for neuroprosthetic applications. A desirable BCI system should be portable, minimally invasive, and feature high classification accuracy and efficiency. As two commonly used non-invasive brain imaging modalities, Electroencephalography...

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Detalles Bibliográficos
Autores principales:	Li, Rihui, Potter, Thomas, Huang, Weitian, Zhang, Yingchun
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/PMC5605645/ https://www.ncbi.nlm.nih.gov/pubmed/28966581 http://dx.doi.org/10.3389/fnhum.2017.00462

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