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

BACKGROUND: Polysomnography (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). MATE...

Descripción completa

Detalles Bibliográficos
Autores principales: Alarcón, Ángel Serrano, Madrid, Natividad Martínez, Seepold, Ralf, Ortega, Juan Antonio
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/PMC10375719/
https://www.ncbi.nlm.nih.gov/pubmed/37521695
http://dx.doi.org/10.3389/fnins.2023.1155900

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10375719/
https://www.ncbi.nlm.nih.gov/pubmed/37521695
http://dx.doi.org/10.3389/fnins.2023.1155900

Ejemplares similares