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Sleep apnea detection from a single-lead ECG signal with automatic feature-extraction through a modified LeNet-5 convolutional neural network

Sleep apnea (SA) is the most common respiratory sleep disorder, leading to some serious neurological and cardiovascular diseases if left untreated. The diagnosis of SA is traditionally made using Polysomnography (PSG). However, this method requires many electrodes and wires, as well as an expert to...

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Detalles Bibliográficos
Autores principales: Wang, Tao, Lu, Changhua, Shen, Guohao, Hong, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6756143/
https://www.ncbi.nlm.nih.gov/pubmed/31579607
http://dx.doi.org/10.7717/peerj.7731