Classification methods for ongoing EEG and MEG signals

Classification methods for ongoing EEG and MEG signals

Classification algorithms help predict the qualitative properties of a subject's mental state by extracting useful information from the highly multivariate non-invasive recordings of his brain activity. In particular, applying them to Magneto-encephalography (MEG) and electro-encephalography (E...

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Autores principales: BESSERVE,MICHEL, JERBI,KARIM, LAURENT,FRANCOIS, BAILLET,SYLVAIN, MARTINERIE,JACQUES, GARNERO,LINE
Lenguaje:English
Publicado: Sociedad de Biología de Chile 2007
Materias:
brain computer interface
electroencephalography
magnetoencephalography
visuomotor control
Support Vector Machine
Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-97602007000500005
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