Real-time segmentation and tracking of brain metabolic state in ICU EEG recordings of burst suppression
Author(s)Westover, M. Brandon; Ching, ShiNung; Shafi, Mouhsin M.; Cash, Sydney S.; Brown, Emma N.
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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.
DepartmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciences; Institute for Medical Engineering and Science; Harvard University--MIT Division of Health Sciences and Technology
Advanced State Space Methods for Neural and Clinical Data
Cambridge University Press
Westover, 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.
Author's final manuscript