Authors
David W Zhou, M Brandon Westover, Lauren M McClain, Sunil B Nagaraj, Ednan K Bajwa, Sadeq A Quraishi, Oluwaseun Akeju, J Perren Cobb, Patrick L Purdon
Publication date
2015/8/25
Conference
2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Pages
7258-7261
Publisher
IEEE
Description
Millions of patients are admitted each year to intensive care units (ICUs) in the United States. A significant fraction of ICU survivors develop life-long cognitive impairment, incurring tremendous financial and societal costs. Delirium, a state of impaired awareness, attention and cognition that frequently develops during ICU care, is a major risk factor for post-ICU cognitive impairment. Recent studies suggest that patients experiencing electroencephalogram (EEG) burst suppression have higher rates of mortality and are more likely to develop delirium than patients who do not experience burst suppression. Burst suppression is typically associated with coma and deep levels of anesthesia or hypothermia, and is defined clinically as an alternating pattern of high-amplitude “burst” periods interrupted by sustained low-amplitude “suppression” periods. Here we describe a clustering method to analyze EEG spectra during …
Total citations
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Scholar articles
DW Zhou, MB Westover, LM McClain, SB Nagaraj… - 2015 37th Annual International Conference of the IEEE …, 2015