Real-time Segmentation and Tracking of Brain Metabolic State in ICU EEG Recordings of Burst Suppression

Overview

Journal Annu Int Conf IEEE Eng Med Biol Soc

Specialty Biomedical Engineering

Date 2013 Oct 11

PMID 24111383

Citations 12

Authors

M Brandon Westover

ShiNung Ching

Mouhsin M Shafi

Sydney S Cash

Emery N Brown

Affiliations

Soon will be listed here.

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.

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