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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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Main Authors: | , |
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Formato: | Artigo |
Idioma: | Inglês |
Publicado em: |
Hindawi Publishing Corporation
2007
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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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