Prediction of the Sleep Apnea Severity Using 2D-Convolutional Neural Networks and Respiratory Effort Signals

The high prevalence of sleep apnea and the limitations of polysomnography have prompted the investigation of strategies aimed at automated diagnosis using a restricted number of physiological measures. This study aimed to demonstrate that thoracic (THO) and abdominal (ABD) movement signals are usefu...

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Detalles Bibliográficos
Autores principales: Barroso-García, Verónica, Fernández-Poyatos, Marta, Sahelices, Benjamín, Álvarez, Daniel, Gozal, David, Hornero, Roberto, Gutiérrez-Tobal, Gonzalo C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10605440/
https://www.ncbi.nlm.nih.gov/pubmed/37892008
http://dx.doi.org/10.3390/diagnostics13203187

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10605440/
https://www.ncbi.nlm.nih.gov/pubmed/37892008
http://dx.doi.org/10.3390/diagnostics13203187

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