This paper is in the following e-collection/theme issue:

Wearable Devices and Sensors (888) New Methods (944) Tools, Programs and Algorithms (266) Cardiac Arrhythmia, Atrial Fibrillation (84) Novel Sensors and Data Acquisition Methods in Cardiology (196)

Published on in Vol 7, No 6 (2019): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12770, first published .
Deep Learning Approaches to Detect Atrial Fibrillation Using Photoplethysmographic Signals: Algorithms Development Study

Deep Learning Approaches to Detect Atrial Fibrillation Using Photoplethysmographic Signals: Algorithms Development Study

Deep Learning Approaches to Detect Atrial Fibrillation Using Photoplethysmographic Signals: Algorithms Development Study

Authors of this article:

Soonil Kwon1 Author Orcid Image ;   Joonki Hong2 Author Orcid Image ;   Eue-Keun Choi1 Author Orcid Image ;   Euijae Lee1 Author Orcid Image ;   David Earl Hostallero2 Author Orcid Image ;   Wan Ju Kang2 Author Orcid Image ;   Byunghwan Lee3 Author Orcid Image ;   Eui-Rim Jeong4 Author Orcid Image ;   Bon-Kwon Koo1 Author Orcid Image ;   Seil Oh1 Author Orcid Image ;   Yung Yi2 Author Orcid Image
Article Authors Cited by (64) Tweetations (2) Metrics

Soonil Kwon   1 * , MD ;   Joonki Hong   2 * , MS ;   Eue-Keun Choi   1 , MD, PhD ;   Euijae Lee   1 , MD ;   David Earl Hostallero   2 , BS ;   Wan Ju Kang   2 , BS ;   Byunghwan Lee   3 , MS ;   Eui-Rim Jeong   4 , PhD ;   Bon-Kwon Koo   1 , MD, PhD ;   Seil Oh   1 , MD, PhD, FHRS, FESC ;   Yung Yi   2 , PhD

1 Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea

2 School of Electrical Engineering, KAIST, Daejeon, Republic of Korea

3 Sky Labs Inc, Seongnam, Republic of Korea

4 Department of Information and Communication Engineering, Hanbat National University, Daejeon, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Eue-Keun Choi, MD, PhD
  • Department of Internal Medicine
  • Seoul National University Hospital
  • 101 Daehang-ro, Jongno-gu
  • Seoul, 03080
  • Republic of Korea
  • Phone: 82 2-2072-0688
  • Fax: 82 2-762-9662
  • Email: choiek417@gmail.com