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

Author

Westover, M. Brandon ; ShiNung Ching ; Shafi, Mohd Mudasir ; Cash, Sydney S. ; Brown, Emery N.

Author_Institution

Dept. of Neurology, Harvard Med. Sch., Boston, MA, USA

fYear

2013

fDate

3-7 July 2013

Firstpage

7108

Lastpage

7111

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.

Keywords

bioelectric potentials; electroencephalography; medical signal processing; neurophysiology; reduced order systems; EEG burst suppression; ICU EEG recordings; brain metabolic state; cerebral metabolic rate; electrophysiological features; estimation method; neurological intensive care unit; real-time segmentation; real-time tracking; reduced-order model; synthetic data; Anesthesia; Biological system modeling; Brain modeling; Electroencephalography; Estimation; State-space methods; Switches;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Osaka

ISSN

1557-170X

Type

conf

DOI

10.1109/EMBC.2013.6611196

Filename

6611196