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dc.contributor.authorWestover, M. Brandon
dc.contributor.authorChing, ShiNung
dc.contributor.authorShafi, Mouhsin M.
dc.contributor.authorCash, Sydney S.
dc.contributor.authorBrown, Emma N.
dc.date.accessioned2020-05-11T18:39:30Z
dc.date.available2020-05-11T18:39:30Z
dc.date.issued2015
dc.identifier.isbn9781139941433
dc.identifier.isbn1139941437
dc.identifier.urihttps://hdl.handle.net/1721.1/125157
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.language.isoen
dc.publisherCambridge University Pressen_US
dc.relation.isversionofhttp://dx.doi.org/10.1017/CBO9781139941433.015en_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. B., et al. “Real-Time Segmentation and Tracking of Brain Metabolic State in ICU EEG Recordings of Burst Suppression.” Advanced State Space Methods for Neural and Clinical Data, edited by Zhe Chen, Cambridge University Press, 2015, 330–44.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciencesen_US
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Medical Engineering & Scienceen_US
dc.contributor.departmentHarvard University--MIT Division of Health Sciences and Technologyen_US
dc.relation.journalAdvanced State Space Methods for Neural and Clinical Dataen_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.updated2019-09-30T14:07:06Z
dspace.date.submission2019-09-30T14:07:08Z
mit.metadata.statusComplete


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