Validation of an Automatic Arousal Detection Algorithm for Whole-Night Sleep EEG Recordings
Abstract
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 research centres. We developed a fully automatic algorithm which aims at detecting artefact and arousal events in whole-night EEG recordings, based on...
Paper Details
Title
Validation of an Automatic Arousal Detection Algorithm for Whole-Night Sleep EEG Recordings
Published Date
Jul 16, 2020
Journal
Volume
2
Issue
3
Pages
258 - 272
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