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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Published in | Computational Intelligence and Neuroscience Vol. 2011; no. 2011; pp. 160 - 171 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Cairo, Egypt
Hindawi Limiteds
01.01.2011
Hindawi Puplishing Corporation Hindawi Publishing Corporation John Wiley & Sons, Inc |
Subjects | |
Online Access | Get full text |
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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. |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 Academic Editor: Laura Astolfi |
ISSN: | 1687-5265 1687-5273 1687-5273 |
DOI: | 10.1155/2011/519868 |