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Real-time segmentation and tracking of brain metabolic state in ICU EEG recordings of burst suppression.


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.

SUBMITTER: Westover MB 

PROVIDER: S-EPMC3939432 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

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Real-time segmentation and tracking of brain metabolic state in ICU EEG recordings of burst suppression.

Westover M Brandon MB   Ching ShiNung S   Shafi Mouhsin M MM   Cash Sydney S SS   Brown Emery N EN  

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 20130101


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. ...[more]

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