Validation of an Automatic Arousal Detection Algorithm for Whole-Night Sleep EEG Recordings

Validation of an Automatic Arousal Detection Algorithm for Whole-Night Sleep EEG Recordings

Arousals during sleep are transient accelerations of the EEG signal, considered to reflect sleep perturbations associated with poorer sleep quality. They are typically detected by visual inspection, which is time consuming, subjective, and prevents good comparability across scorers, studies and rese...

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Bibliographic Details
Main Authors: Daphne Chylinski, Franziska Rudzik, Dorothée Coppieters ‘t Wallant, Martin Grignard, Nora Vandeleene, Maxime Van Egroo, Laurie Thiesse, Stig Solbach, Pierre Maquet, Christophe Phillips, Gilles Vandewalle, Christian Cajochen, Vincenzo Muto
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Clocks & Sleep
Subjects:
arousals
electroencephalography
automatic detection
sleep
artefacts
Online Access:https://www.mdpi.com/2624-5175/2/3/20

Internet

https://www.mdpi.com/2624-5175/2/3/20

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