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...

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Autores principales: Westover, M. Brandon, Shafi, Mouhsin M., Ching, ShiNung, Chemali, Jessica J., Purdon, Patrick L., Cash, Sydney S., Brown, Emery N.
Formato: Artigo
Lenguaje:Inglês
Publicado: 2013
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Article
Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC3939433/
https://ncbi.nlm.nih.gov/pubmed/23891828
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jneumeth.2013.07.003
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