Real-time segmentation of burst suppression patterns in critical care EEG monitoring
Objective Develop a real-time algorithm to automatically discriminate suppressions from non-suppressions (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 lo...
Main Authors: | Shafi, Mouhsin M. (Author), Ching, ShiNung (Contributor), Chemali, Jessica J. (Contributor), Cash, Sydney S. (Author), Brown, Emery N. (Contributor), Westover, M. Brandon (Author), Purdon, Patrick Lee (Contributor) |
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Other Authors: | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences (Contributor), Picower Institute for Learning and Memory (Contributor) |
Format: | Article |
Language: | English |
Published: |
Elsevier,
2016-04-15T19:44:29Z.
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Subjects: | |
Online Access: | Get fulltext |
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