Real-time segmentation of burst suppression patterns in critical care EEG monitoring Citation

Abstract

Objective—Develop a real-time algorithm to automatically discriminate suppressions from nonsuppressions (bursts) in electroencephalograms of critically ill adult patients. Methods—A real-time method for segmenting adult ICU EEG data into bursts and suppressions is presented based on thresholding local voltage variance. Results are validated against manual… (More)

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Cite this paper

@inproceedings{Westover2014RealtimeSO, title={Real-time segmentation of burst suppression patterns in critical care EEG monitoring Citation}, author={Brandon M Westover and Mouhsin M. Shafi and ShiNung Ching and Jessica J. Chemali and Patrick L. Purdon and Sydney S. Cash and M. Brandon Westovera and Mouhsin M. Shafid and ShiNung Chingb and Jessica J. Chemalib and Patrick L. Purdonb and Sydney S. Casha and Emery N. Brownb}, year={2014} }