A spatio-temporal learning-based model for sleep apnea detection using single-lead ECG signals

A spatio-temporal learning-based model for sleep apnea detection using single-lead ECG signals

Sleep apnea (SA) is a common chronic sleep breathing disorder, which would cause stroke, cognitive decline, cardiovascular disease, or even death. The SA symptoms often manifest as frequent breathing interruptions during sleep and most individuals with sleeping disorders are not aware of the SA even...

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Bibliographic Details
Main Authors: Junyang Chen, Mengqi Shen, Wenjun Ma, Weiping Zheng
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-08-01
Series:Frontiers in Neuroscience
Subjects:
sleep apnea
ECG signals
spatio-temporal learning
BiGRU
attention
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2022.972581/full

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