Deep Learning for Diagnosis and Classification of Obstructive Sleep Apnea: A Nasal Airflow-Based Multi-Resolution Residual Network

Huijun Yue,1,* Yu Lin,1,* Yitao Wu,2,* Yongquan Wang,1 Yun Li,1 Xueqin Guo,1 Ying Huang,3 Weiping Wen,1 Gansen Zhao,2 Xiongwen Pang,2 Wenbin Lei1 1Otorhinolaryngology Hospital, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, People’s Republic of China; 2School of...

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Bibliographic Details
Main Authors:	Yue H, Lin Y, Wu Y, Wang Y, Li Y, Guo X, Huang Y, Wen W, Zhao G, Pang X, Lei W
Format:	article
Language:	EN
Published:	Dove Medical Press 2021
Subjects:	deep learning nasal airflow obstructive sleep apnea residual network Psychiatry RC435-571 Neurophysiology and neuropsychology QP351-495
Online Access:	https://doaj.org/article/5e2d2e80dc8c477892afd360405744dd
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Deep Learning for Diagnosis and Classification of Obstructive Sleep Apnea: A Nasal Airflow-Based Multi-Resolution Residual Network

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