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

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5 Author(s)
Westover, M.B. ; Dept. of Neurology, Harvard Med. Sch., Boston, MA, USA ; ShiNung Ching ; Shafi, M.M. ; Cash, S.S.
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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.

Published in:

Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE

Date of Conference:

3-7 July 2013