Classification of Sleep Apnea Severity by Electrocardiogram Monitoring Using a Novel Wearable Device

Classification of Sleep Apnea Severity by Electrocardiogram Monitoring Using a Novel Wearable Device

Sleep apnea (SA) is a prevalent disorder diagnosed by polysomnography (PSG) based on the number of apnea−hypopnea events per hour of sleep (apnea−hypopnea index, AHI). PSG is expensive and technically complex; therefore, its use is rather limited to the initial diagnostic phase a...

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Bibliographic Details
Main Authors: Florent Baty, Maximilian Boesch, Sandra Widmer, Simon Annaheim, Piero Fontana, Martin Camenzind, René M. Rossi, Otto D. Schoch, Martin H. Brutsche
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Sensors
Subjects:
sleep apnea
classification algorithms
ecg signal
wearable acquisition device
heart rate variability analysis
support vector machine
Online Access:https://www.mdpi.com/1424-8220/20/1/286

Internet

https://www.mdpi.com/1424-8220/20/1/286

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