| Application of covariate shift adaptation techniques in brain-computer interfaces. | |
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MedLine Citation:
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PMID: 20172795 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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A phenomenon often found in session-to-session transfers of brain-computer interfaces (BCIs) is nonstationarity. It can be caused by fatigue and changing attention level of the user, differing electrode placements, varying impedances, among other reasons. Covariate shift adaptation is an effective method that can adapt to the testing sessions without the need for labeling the testing session data. The method was applied on a BCI Competition III dataset. Results showed that covariate shift adaptation compares favorably with methods used in the BCI competition in coping with nonstationarities. Specifically, bagging combined with covariate shift helped to increase stability, when applied to the competition dataset. An online experiment also proved the effectiveness of bagged-covariate shift method. Thus, it can be summarized that covariate shift adaptation is helpful to realize adaptive BCI systems. |
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Authors:
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Yan Li; Hiroyuki Kambara; Yasuharu Koike; Masashi Sugiyama |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't Date: 2010-02-17 |
Journal Detail:
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Title: IEEE transactions on bio-medical engineering Volume: 57 ISSN: 1558-2531 ISO Abbreviation: IEEE Trans Biomed Eng Publication Date: 2010 Jun |
Date Detail:
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Created Date: 2010-07-27 Completed Date: 2010-12-15 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0012737 Medline TA: IEEE Trans Biomed Eng Country: United States |
Other Details:
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Languages: eng Pagination: 1318-24 Citation Subset: IM |
Affiliation:
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Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Yokohama 226-8503, Japan. soncyme@hi.pi.titech.ac.jp |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms* Brain Mapping / methods* Data Interpretation, Statistical Electroencephalography / methods* Evoked Potentials, Motor / physiology* Humans Imagination / physiology* Motor Cortex / physiology* User-Computer Interface* |
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