Real-time segmentation and tracking of brain metabolic state in ICU EEG recordings of burst suppression
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Author(s)
Westover, M. Brandon
Shafi, Mouhsin M.
Cash, Sydney S.
Ching, Shinung
Brown, Emery Neal
Date Issued
September 2013
Journal
2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Westover, M. Brandon et al. “Real-Time Segmentation and Tracking of Brain Metabolic State in ICU EEG Recordings of Burst Suppression.” 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), July 3-7 2013, Osaka, Japan, Institute of Electrical and Electronics Engineers (IEEE), September 2013 © 2013 Institute of Electrical and Electronics Engineers (IEEE)
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Author's final manuscript
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.
MIT Department
Institute for Medical Engineering and Science
Harvard University--MIT Division of Health Sciences and Technology
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
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Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1109/EMBC.2013.6611196
