Detection of EEG burst-suppression in neurocritical care patients using an unsupervised machine learning algorithm

•A novel burst suppression detection algorithm that doesn’t require annotated data.•The algorithm adapts to each patient, is fast and provides confidence scores.•We report competitive performance compared to supervised deep neural networks. The burst suppression pattern in clinical electroencephalog...

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Vydané v:	Clinical neurophysiology Ročník 132; číslo 10; s. 2485 - 2492
Hlavní autori:	Narula, G., Haeberlin, M., Balsiger, J., Strässle, C., Imbach, L.L., Keller, E.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.10.2021
Predmet:	Burst suppression EEG Machine learning Neurocritical care Neurology Unsupervised Burst suppression Unsupervised Neurocritical care EEG Machine learning machine learning unsupervised neurocritical care
ISSN:	1388-2457, 1872-8952, 1872-8952
On-line prístup:	Získať plný text
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