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.
SourceAvailable from: Lawrence James HirschJournal of clinical neurophysiology: official publication of the American Electroencephalographic Society 01/2015; 32(2). DOI:10.1097/WNP.0000000000000165 · 1.60 Impact Factor