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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Bibliographic Details
Main Authors: MICHEL BESSERVE, KARIM JERBI, FRANCOIS LAURENT, SYLVAIN BAILLET, JACQUES MARTINERIE, LINE GARNERO
Format: Article
Language:English
Published: BMC 2007-01-01
Series:Biological Research
Subjects:
brain computer interface
electroencephalography
magnetoencephalography
visuomotor control
Support Vector Machine
Online Access:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-97602007000500005

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http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-97602007000500005

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