Robust Method for Screening Sleep Apnea With Single-Lead ECG Using Deep Residual Network: Evaluation With Open Database and Patch-Type Wearable Device Data-Reference-Cited by-同舟云学术

Robust Method for Screening Sleep Apnea With Single-Lead ECG Using Deep Residual Network: Evaluation With Open Database and Patch-Type Wearable Device Data

Published:2022-11 Issue:11 Volume:26 Page:5428-5438
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Yeo Minsoo¹^ORCID,Byun Hoonsuk¹,Lee Jiyeon¹^ORCID,Byun Jungick²^ORCID,Rhee Hak-Young²^ORCID,Shin Wonchul²^ORCID,Yoon Heenam³^ORCID

Affiliation:

1. Department of Digital Healthcare, Taewoong Medical, Gimpo, South Korea

2. Department of Neurology, School of Medicine, Kyunghee University, Seoul, South Korea

3. Department of Human-Centered Artificial Intelligence, Sangmyung University, Seoul, South Korea

Funder

National Heart, Lung, and Blood Institute

Cleveland Family Study

National Institutes of Health

NIH-NHLBI Association of Sleep Disorders with Cardiovascular Health Across Ethnic Groups

NHLBI-Funded and National Heart, Lung, and Blood Institute

NCATS under Cooperative Agreements

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

http://xplorestaging.ieee.org/ielx7/6221020/9945616/09873934.pdf?arnumber=9873934

Reference49 articles.

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4. Respiratory Event Detection During Sleep Using Electrocardiogram and Respiratory Related Signals: Using Polysomnogram and Patch-Type Wearable Device Data

5. Real time electrocardiogram QRS detection using combined adaptive threshold

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