A Sleep Apnea Detection System Based on a One-Dimensional Deep Convolution Neural Network Model Using Single-Lead Electrocardiogram

Many works in recent years have been focused on developing a portable and less expensive system for diagnosing patients with obstructive sleep apnea (OSA), instead of using the inconvenient and expensive polysomnography (PSG). This study proposes a sleep apnea detection system based on a one-dimensi...

Descripción completa

Detalles Bibliográficos
Autores principales: Chang, Hung-Yu, Yeh, Cheng-Yu, Lee, Chung-Te, Lin, Chun-Cheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7435835/
https://www.ncbi.nlm.nih.gov/pubmed/32722630
http://dx.doi.org/10.3390/s20154157

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7435835/
https://www.ncbi.nlm.nih.gov/pubmed/32722630
http://dx.doi.org/10.3390/s20154157

Ejemplares similares