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

INTRODUCTION: The 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. METHODS: In th...

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Detalles Bibliográficos
Autores principales: Jiang, Xinge, Ren, YongLian, Wu, Hua, Li, Yanxiu, Liu, Feifei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10400763/
https://www.ncbi.nlm.nih.gov/pubmed/37547138
http://dx.doi.org/10.3389/fnins.2023.1222715

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10400763/
https://www.ncbi.nlm.nih.gov/pubmed/37547138
http://dx.doi.org/10.3389/fnins.2023.1222715

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