A hidden semi-Markov model for estimating burst suppression EEG

A hidden semi-Markov model for estimating burst suppression EEG

Burst suppression is an electroencephalogram (EEG) pattern associated with profoundly inactivated brain states characterized by cerebral metabolic depression. This pattern is distinguished by short-duration band-limited electrical activity (bursts) interspersed between relatively near-isoelectric pe...

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Bibliographic Details
Main Authors: Chakravarty, Sourish (Author), Baum, Taylor E. (Author), An, Jingzhi (Author), Kahaliardabili, Pegah (Author), Brown, Emery Neal (Author)
Other Authors: Picower Institute for Learning and Memory (Contributor), Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences (Contributor), Massachusetts Institute of Technology. Institute for Medical Engineering & Science (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2019-12-30T23:14:44Z.
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