dc.contributor.author | Gao, Shangkai | |
dc.contributor.author | Wu, Wei | |
dc.contributor.author | Chen, Zhe | |
dc.contributor.author | Brown, Emery N. | |
dc.date.accessioned | 2010-06-02T20:48:01Z | |
dc.date.available | 2010-06-02T20:48:01Z | |
dc.date.issued | 2009-09 | |
dc.identifier.isbn | 978-1-4244-3296-7 | |
dc.identifier.issn | 1557-170X | |
dc.identifier.other | INSPEC Accession Number: 10992425 | |
dc.identifier.uri | http://hdl.handle.net/1721.1/55375 | |
dc.description.abstract | Robustness 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.sponsorship | NNSFC of China (Grant no. 30630022) | en |
dc.description.sponsorship | National Institutes of Health (U.S.) (Grants DP1-OD003646) | en |
dc.language.iso | en_US | |
dc.publisher | Institute of Electrical and Electronics Engineers | en |
dc.relation.isversionof | http://dx.doi.org/10.1109/IEMBS.2009.5332646 | en |
dc.rights | Article 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.source | IEEE | en |
dc.title | A probabilistic framework for learning robust common spatial patterns | en |
dc.type | Article | en |
dc.identifier.citation | Wei 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.department | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences | en_US |
dc.contributor.approver | Brown, Emery N. | |
dc.contributor.mitauthor | Wu, Wei | |
dc.contributor.mitauthor | Chen, Zhe | |
dc.contributor.mitauthor | Brown, Emery N. | |
dc.relation.journal | Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009. EMBC 2009. | en |
dc.eprint.version | Final published version | en |
dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en |
eprint.status | http://purl.org/eprint/status/PeerReviewed | en |
dspace.orderedauthors | Wei Wu; Zhe Chen; Shangkai Gao; Brown, E.N. | en |
dc.identifier.orcid | https://orcid.org/0000-0003-2668-7819 | |
mit.license | PUBLISHER_POLICY | en |
mit.metadata.status | Complete | |