Extracting Rhythmic Brain Activity for Brain-Computer Interfacing through Constrained Independent Component Analysis

We propose a technique based on independent component analysis (ICA) with constraints, applied to the rhythmic electroencephalographic (EEG) data recorded from a brain-computer interfacing (BCI) system. ICA is a technique that can decompose the recorded EEG into its underlying independent components...

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Detalles Bibliográficos
Autores principales: Wang, Suogang, James, Christopher J.
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2007
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2266977/
https://www.ncbi.nlm.nih.gov/pubmed/18354730
http://dx.doi.org/10.1155/2007/41468

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2266977/
https://www.ncbi.nlm.nih.gov/pubmed/18354730
http://dx.doi.org/10.1155/2007/41468

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