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...

Full description

Bibliographic Details

Published in:	Clinical neurophysiology Vol. 132; no. 10; pp. 2485 - 2492
Main Authors:	Narula, G., Haeberlin, M., Balsiger, J., Strässle, C., Imbach, L.L., Keller, E.
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.10.2021
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!