Convolutional neural network based on photoplethysmography signals for sleep apnea syndrome detection

Convolutional neural network based on photoplethysmography signals for sleep apnea syndrome detection

IntroductionThe current method of monitoring sleep disorders is complex, time-consuming, and uncomfortable, although it can provide scientifc guidance to ensure worldwide sleep quality. This study aims to seek a comfortable and convenient method for identifying sleep apnea syndrome.MethodsIn this wo...

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Bibliographic Details
Main Authors: Xinge Jiang, YongLian Ren, Hua Wu, Yanxiu Li, Feifei Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-07-01
Series:Frontiers in Neuroscience
Subjects:
sleep apnea syndrome (SAS)
convolutional neural networks (CNN)
photoplethysmographic (PPG) signals
sleep apnea syndrome (SAS) recognition
cross entropy
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2023.1222715/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2023.1222715/full

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