Obstructive sleep apnea event detection using explainable deep learning models for a portable monitor

Obstructive sleep apnea event detection using explainable deep learning models for a portable monitor

BackgroundPolysomnography (PSG) is the gold standard for detecting obstructive sleep apnea (OSA). However, this technique has many disadvantages when using it outside the hospital or for daily use. Portable monitors (PMs) aim to streamline the OSA detection process through deep learning (DL).Materia...

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Bibliographic Details
Main Authors: Ángel Serrano Alarcón, Natividad Martínez Madrid, Ralf Seepold, Juan Antonio Ortega
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-07-01
Series:Frontiers in Neuroscience
Subjects:
obstructive sleep apnea
sleep apnea
portable monitor
deep learning
1D-CNN
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2023.1155900/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2023.1155900/full

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