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dc.contributor.authorJonnalagadda, Durga
dc.contributor.authorMoura, Valdery
dc.contributor.authorPurdon, Patrick L.
dc.contributor.authorWestover, M. Brandon
dc.contributor.authorAn, Jingzhi
dc.contributor.authorBrown, Emery Neal
dc.date.accessioned2017-11-20T16:12:49Z
dc.date.available2017-11-20T16:12:49Z
dc.date.issued2015-11
dc.date.submitted2015-08
dc.identifier.isbn978-1-4244-9271-8
dc.identifier.issn1094-687X
dc.identifier.urihttp://hdl.handle.net/1721.1/112236
dc.description.abstractBurst suppression is actively studied as a control signal to guide anesthetic dosing in patients undergoing medically induced coma. The ability to automatically identify periods of EEG suppression and compactly summarize the depth of coma using the burst suppression probability (BSP) is crucial to effective and safe monitoring and control of medical coma. Current literature however does not explicitly account for the potential variation in burst suppression parameters across different scalp locations. In this study we analyzed standard 19-channel EEG recordings from 8 patients with refractory status epilepticus who underwent pharmacologically induced burst suppression as medical treatment for refractory seizures. We found that although burst suppression is generally considered a global phenomenon, BSP obtained using a previously validated algorithm varies systematically across different channels. A global representation of information from individual channels is proposed that takes into account the burst suppression characteristics recorded at multiple electrodes. BSP computed from this representative burst suppression pattern may be more resilient to noise and a better representation of the brain state of patients. Multichannel data integration may enhance the reliability of estimates of the depth of medical coma.en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant K23 NS090900)en_US
dc.description.sponsorshipNational Institute of Neurological Diseases and Stroke (U.S.) (Grant K23 NS090900)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant DP2-OD006454)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant TROI-GMI04948)en_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/EMBC.2015.7320109en_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.titleSpatial variation in automated burst suppression detection in pharmacologically induced comaen_US
dc.typeArticleen_US
dc.identifier.citationJingzhi An, et al. “Spatial Variation in Automated Burst Suppression Detection in Pharmacologically Induced Coma.” 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) August 25-29 2015, Milan, Italy, Institute of Electrical and Electronics Engineers (IEEE), November 2015 © 2015 Institute of Electrical and Electronics Engineers (IEEE)en_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.mitauthorAn, Jingzhi
dc.contributor.mitauthorBrown, Emery Neal
dc.contributor.mitauthorPurdon, Patrick L.
dc.relation.journal2015 37th 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.updated2017-11-01T14:10:12Z
dspace.orderedauthorsJingzhi An; Jonnalagadda, Durga; Moura, Valdery; Purdon, Patrick L.; Brown, Emery N.; Westover, M. Brandonen_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-6025-2301
dc.identifier.orcidhttps://orcid.org/0000-0003-2668-7819
dc.identifier.orcidhttps://orcid.org/0000-0001-5651-5060
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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