On the Generalization of Sleep Apnea Detection Methods Based on Heart Rate Variability and Machine Learning

On the Generalization of Sleep Apnea Detection Methods Based on Heart Rate Variability and Machine Learning

Obstructive sleep apnea (OSA) is a respiratory disorder highly correlated with severe cardiovascular diseases that has unleashed the interest of hundreds of experts aiming to overcome the elevated requirements of polysomnography, the gold standard for its detection. In this regard, a variety of algo...

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Bibliographic Details
Main Authors: Daniele Padovano, Arturo Martinez-Rodrigo, Jose M. Pastor, Jose J. Rieta, Raul Alcaraz
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Electrocardiography
heart rate variability
machine learning
sleep apnea
Online Access:https://ieeexplore.ieee.org/document/9867980/

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