Photoplethysmographic-based automated sleep–wake classification using a support vector machine
Author:
Publisher
IOP Publishing
Subject
Physiology (medical),Biomedical Engineering,Physiology,Biophysics
Link
https://iopscience.iop.org/article/10.1088/1361-6579/ab9482/pdf
Reference50 articles.
1. Sleep Stage Classification Using EEG Signal Analysis: A Comprehensive Survey and New Investigation
2. Sleep–wake stages classification and sleep efficiency estimation using single-lead electrocardiogram
3. The addition of entropy-based regularity parameters improves sleep stage classification based on heart rate variability
4. Estimation of sleep stages in a healthy adult population from optical plethysmography and accelerometer signals
5. Sleep-wake stages classification using heart rate signals from pulse oximetry
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