Comparison of Classification Methods for P300 Brain-Computer Interface on Disabled Subjects

We report on tests with a mind typing paradigm based on a P300 brain-computer interface (BCI) on a group of amyotrophic lateral sclerosis (ALS), middle cerebral artery (MCA) stroke, and subarachnoid hemorrhage (SAH) patients, suffering from motor and speech disabilities. We investigate the achieved...

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Bibliographic Details
Published inComputational Intelligence and Neuroscience Vol. 2011; no. 2011; pp. 160 - 171
Main Authors Manyakov, Nikolay V., Chumerin, Nikolay, Combaz, Adrien, Van Hulle, Marc M.
Format Journal Article
LanguageEnglish
Published Cairo, Egypt Hindawi Limiteds 01.01.2011
Hindawi Puplishing Corporation
Hindawi Publishing Corporation
John Wiley & Sons, Inc
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Summary:We report on tests with a mind typing paradigm based on a P300 brain-computer interface (BCI) on a group of amyotrophic lateral sclerosis (ALS), middle cerebral artery (MCA) stroke, and subarachnoid hemorrhage (SAH) patients, suffering from motor and speech disabilities. We investigate the achieved typing accuracy given the individual patient's disorder, and how it correlates with the type of classifier used. We considered 7 types of classifiers, linear as well as nonlinear ones, and found that, overall, one type of linear classifier yielded a higher classification accuracy. In addition to the selection of the classifier, we also suggest and discuss a number of recommendations to be considered when building a P300-based typing system for disabled subjects.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
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Academic Editor: Laura Astolfi
ISSN:1687-5265
1687-5273
1687-5273
DOI:10.1155/2011/519868