Neonatal EEG sleep stages modelling by temporal profiles

Authors:
Vladimír Krajča;Svojmil Petránek;Jitka Mohylová;Karel Paul;Václav Gerla;Lenka Lhotská
Affiliations:
Department of Neurology, Faculty Hospital Na Bulovce, Prague, Czech Republic;Department of Neurology, Faculty Hospital Na Bulovce, Prague, Czech Republic;VŠB-Technical University, Ostrava;Institute for Care of Mother and Child, Prague;Czech Technical University, Prague;Czech Technical University, Prague
Venue:
EUROCAST'07 Proceedings of the 11th international conference on Computer aided systems theory
Year:
2007

Citing 1
Cited 1

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Automated detection of neonate EEG sleep stages

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Abstract

The paper deals with the application of the EEG temporal profiles for the neonatal sleep stages modelling. The temporal profiles created by adaptive segmentation and cluster analysis reflect the time structure of the EEG during different periods of sleep. They can be used for neonatal EEG quantification and for the detection of sleep stage changes.