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

Annu Int Conf IEEE Eng Med Biol Soc. 2013:2013:7108-11. doi: 10.1109/EMBC.2013.6611196.

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.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adenosine Triphosphate / metabolism
  • Algorithms
  • Brain / metabolism*
  • Electroencephalography*
  • Electrophysiological Phenomena
  • Humans
  • Intensive Care Units
  • Models, Neurological
  • Oxygen / metabolism

Substances

  • Adenosine Triphosphate
  • Oxygen