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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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Detalhes bibliográficos
Main Authors: Wang, Suogang, James, Christopher J.
Formato: Artigo
Idioma:Inglês
Publicado em: Hindawi Publishing Corporation 2007
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC2266977/
https://ncbi.nlm.nih.gov/pubmed/18354730
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2007/41468
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