Comparison of Classification Methods for P300 Brain-Computer Interface on Disabled Subjects
Joint Authors
Chumerin, Nikolay
Van Hulle, Marc M.
Combaz, Adrien
Manyakov, Nikolay V.
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-09-18
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Manyakov, Nikolay V.& Chumerin, Nikolay& Combaz, Adrien& Van Hulle, Marc M.. 2011. Comparison of Classification Methods for P300 Brain-Computer Interface on Disabled Subjects. Computational Intelligence and Neuroscience،Vol. 2011, no. 2011, pp.1-12.
https://search.emarefa.net/detail/BIM-478216
Modern Language Association (MLA)
Manyakov, Nikolay V.…[et al.]. Comparison of Classification Methods for P300 Brain-Computer Interface on Disabled Subjects. Computational Intelligence and Neuroscience No. 2011 (2011), pp.1-12.
https://search.emarefa.net/detail/BIM-478216
American Medical Association (AMA)
Manyakov, Nikolay V.& Chumerin, Nikolay& Combaz, Adrien& Van Hulle, Marc M.. Comparison of Classification Methods for P300 Brain-Computer Interface on Disabled Subjects. Computational Intelligence and Neuroscience. 2011. Vol. 2011, no. 2011, pp.1-12.
https://search.emarefa.net/detail/BIM-478216
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-478216