Original paper
A deep learning-based algorithm for detection of cortical arousal during sleep
Abstract
Study Objectives The frequency of cortical arousals is an indicator of sleep quality. Additionally, cortical arousals are used to identify hypopneic events. However, it is inconvenient to record electroencephalogram (EEG) data during home sleep testing. Fortunately, most cortical arousal events are associated with autonomic nervous system activity that could be observed on an electrocardiography (ECG) signal. ECG data have lower noise and are...
Paper Details
Title
A deep learning-based algorithm for detection of cortical arousal during sleep
Published Date
Jun 17, 2020
Journal
Volume
43
Issue
12
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Notes
History