| dc.contributor.author | Westover, M. Brandon |  | 
| dc.contributor.author | Shafi, Mouhsin M. |  | 
| dc.contributor.author | Cash, Sydney S. |  | 
| dc.contributor.author | Ching, Shinung |  | 
| dc.contributor.author | Brown, Emery Neal |  | 
| dc.date.accessioned | 2017-11-22T14:36:39Z |  | 
| dc.date.available | 2017-11-22T14:36:39Z |  | 
| dc.date.issued | 2013-09 |  | 
| dc.date.submitted | 2013-07 |  | 
| dc.identifier.isbn | 978-1-4577-0216-7 |  | 
| dc.identifier.issn | 1094-687X |  | 
| dc.identifier.uri | http://hdl.handle.net/1721.1/112269 |  | 
| dc.description.abstract | We 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.sponsorship | National Institutes of Health (U.S.) (Grant DP1-OD003646) | en_US | 
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US | 
| dc.relation.isversionof | http://dx.doi.org/10.1109/EMBC.2013.6611196 | en_US | 
| dc.rights | Creative Commons Attribution-Noncommercial-Share Alike | en_US | 
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | en_US | 
| dc.source | PMC | en_US | 
| dc.title | Real-time segmentation and tracking of brain metabolic state in ICU EEG recordings of burst suppression | en_US | 
| dc.type | Article | en_US | 
| dc.identifier.citation | Westover, 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.department | Institute for Medical Engineering and Science | en_US | 
| dc.contributor.department | Harvard University--MIT Division of Health Sciences and Technology | en_US | 
| dc.contributor.department | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences | en_US | 
| dc.contributor.mitauthor | Ching, Shinung |  | 
| dc.contributor.mitauthor | Brown, Emery Neal |  | 
| dc.relation.journal | 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) | en_US | 
| dc.eprint.version | Author's final manuscript | en_US | 
| dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US | 
| eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US | 
| dc.date.updated | 2017-11-01T16:10:20Z |  | 
| dspace.orderedauthors | Westover, M. Brandon; Ching, ShiNung; Shafi, Mouhsin M.; Cash, Sydney S.; Brown, Emery N. | en_US | 
| dspace.embargo.terms | N | en_US | 
| dc.identifier.orcid | https://orcid.org/0000-0003-2668-7819 |  | 
| mit.license | OPEN_ACCESS_POLICY | en_US |