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dc.contributor.authorGao, Shangkai
dc.contributor.authorWu, Wei
dc.contributor.authorChen, Zhe
dc.contributor.authorBrown, Emery N.
dc.date.accessioned2010-06-02T20:48:01Z
dc.date.available2010-06-02T20:48:01Z
dc.date.issued2009-09
dc.identifier.isbn978-1-4244-3296-7
dc.identifier.issn1557-170X
dc.identifier.otherINSPEC Accession Number: 10992425
dc.identifier.urihttp://hdl.handle.net/1721.1/55375
dc.description.abstractRobustness in signal processing is crucial for the purpose of reliably interpreting physiological features from noisy data in biomedical applications. We present a robust algorithm based on the reformulation of a well-known spatial filtering and feature extraction algorithm named Common Spatial Patterns (CSP). We cast the problem of learning CSP into a probabilistic framework, which allows us to gain insights into the algorithm. To address the overfitting problem inherent in CSP, we propose an expectation-maximization (EM) algorithm for learning robust CSP using from a Student-t distribution. The efficacy of the proposed robust algorithm is validated with both simulated and real EEG data.en
dc.description.sponsorshipNNSFC of China (Grant no. 30630022)en
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grants DP1-OD003646)en
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineersen
dc.relation.isversionofhttp://dx.doi.org/10.1109/IEMBS.2009.5332646en
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en
dc.sourceIEEEen
dc.titleA probabilistic framework for learning robust common spatial patternsen
dc.typeArticleen
dc.identifier.citationWei Wu et al. “A probabilistic framework for learning robust common spatial patterns.” Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE. 2009. 4658-4661. © 2009 Institute of Electrical and Electronics Engineers.en
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciencesen_US
dc.contributor.approverBrown, Emery N.
dc.contributor.mitauthorWu, Wei
dc.contributor.mitauthorChen, Zhe
dc.contributor.mitauthorBrown, Emery N.
dc.relation.journalAnnual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009. EMBC 2009.en
dc.eprint.versionFinal published versionen
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen
eprint.statushttp://purl.org/eprint/status/PeerRevieweden
dspace.orderedauthorsWei Wu; Zhe Chen; Shangkai Gao; Brown, E.N.en
dc.identifier.orcidhttps://orcid.org/0000-0003-2668-7819
mit.licensePUBLISHER_POLICYen
mit.metadata.statusComplete


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