Sleep Apnea Detection Based on Multi-Scale Residual Network

Aiming at the fact that traditional convolutional neural networks cannot effectively extract signal features in complex application scenarios, a sleep apnea (SA) detection method based on multi-scale residual networks is proposed. First, we analyze the physiological mechanism of SA, which uses the R...

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Detalles Bibliográficos
Autores principales: Fang, Hengyang, Lu, Changhua, Hong, Feng, Jiang, Weiwei, Wang, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8781811/
https://www.ncbi.nlm.nih.gov/pubmed/35054512
http://dx.doi.org/10.3390/life12010119

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8781811/
https://www.ncbi.nlm.nih.gov/pubmed/35054512
http://dx.doi.org/10.3390/life12010119

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