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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...
Autores principales: | Wang, Suogang, James, Christopher J. |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2007
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Materias: | |
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 |
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