Deep learning approaches for automatic detection of sleep apnea events from an electrocardiogram-Reference-Cited by-同舟云学术

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Deep learning approaches for automatic detection of sleep apnea events from an electrocardiogram

Published:2019-10 Issue: Volume:180 Page:105001
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Erdenebayar Urtnasan,Kim Yoon Ji,Park Jong-Uk,Joo Eun Yeon,Lee Kyoung-Joung

Funder

Ministry of Trade, Industry and Energy

(MOTIE)

Korea Institute for Advancement of Technology

Yonsei University

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference49 articles.

1. Obstructive sleep apnea-hypopnea syndrome;Olson;Mayo Clin. Proc.,2003

2. The epidemiology of adult obstructive sleep apnea;Punjabi;Proc. Am. Thorac. Soc.,2008

3. Prospective study of obstructive sleep apnea and incident coronary heart disease and heart failure: the sleep heart health study;Gottlieb;Circulation,2010

4. Obstructive sleep apnea as a risk factor for type 2 diabetes;Botros;Am. J. Med.,2009

5. Obstructive sleep apnea: a stand-alone risk factor for chronic kidney disease;Chou;Nephrol. Dial. Transplant.,2011

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