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dc.contributor.authorWestover, M. Brandon
dc.contributor.authorShafi, Mouhsin M.
dc.contributor.authorCash, Sydney S.
dc.contributor.authorChing, Shinung
dc.contributor.authorBrown, Emery Neal
dc.date.accessioned2017-11-22T14:36:39Z
dc.date.available2017-11-22T14:36:39Z
dc.date.issued2013-09
dc.date.submitted2013-07
dc.identifier.isbn978-1-4577-0216-7
dc.identifier.issn1094-687X
dc.identifier.urihttp://hdl.handle.net/1721.1/112269
dc.description.abstractWe provide a method for estimating brain metabolic state based on a reduced-order model of EEG burst suppression. The model, derived from previously suggested biophysical mechanisms of burst suppression, describes important electrophysiological features and provides a direct link to cerebral metabolic rate. We design and fit the estimation method from EEG recordings of burst suppression from a neurological intensive care unit and test it on real and synthetic data.en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant DP1-OD003646)en_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/EMBC.2013.6611196en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcePMCen_US
dc.titleReal-time segmentation and tracking of brain metabolic state in ICU EEG recordings of burst suppressionen_US
dc.typeArticleen_US
dc.identifier.citationWestover, M. Brandon et al. “Real-Time Segmentation and Tracking of Brain Metabolic State in ICU EEG Recordings of Burst Suppression.” 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), July 3-7 2013, Osaka, Japan, Institute of Electrical and Electronics Engineers (IEEE), September 2013 © 2013 Institute of Electrical and Electronics Engineers (IEEE)en_US
dc.contributor.departmentInstitute for Medical Engineering and Scienceen_US
dc.contributor.departmentHarvard University--MIT Division of Health Sciences and Technologyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciencesen_US
dc.contributor.mitauthorChing, Shinung
dc.contributor.mitauthorBrown, Emery Neal
dc.relation.journal2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)en_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2017-11-01T16:10:20Z
dspace.orderedauthorsWestover, M. Brandon; Ching, ShiNung; Shafi, Mouhsin M.; Cash, Sydney S.; Brown, Emery N.en_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0003-2668-7819
mit.licenseOPEN_ACCESS_POLICYen_US


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