Published on in Vol 22, No 5 (2020): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16443, first published .
Detection of Atrial Fibrillation Using a Ring-Type Wearable Device (CardioTracker) and Deep Learning Analysis of Photoplethysmography Signals: Prospective Observational Proof-of-Concept Study

Detection of Atrial Fibrillation Using a Ring-Type Wearable Device (CardioTracker) and Deep Learning Analysis of Photoplethysmography Signals: Prospective Observational Proof-of-Concept Study

Detection of Atrial Fibrillation Using a Ring-Type Wearable Device (CardioTracker) and Deep Learning Analysis of Photoplethysmography Signals: Prospective Observational Proof-of-Concept Study

Soonil Kwon   1 * , MD ;   Joonki Hong   2 * , MSc ;   Eue-Keun Choi   1 , MD, PhD ;   Byunghwan Lee   3 , MSc ;   Changhyun Baik   3 , MSc ;   Euijae Lee   1 , MD ;   Eui-Rim Jeong   4 , PhD ;   Bon-Kwon Koo   1 , MD, PhD ;   Seil Oh   1 , MD, PhD, FHRS, FESC ;   Yung Yi   2 , PhD

1 Seoul National University Hospital, Seoul, Republic of Korea

2 Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, 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
  • Seoul National University Hospital
  • 101 Daehak-ro, Jongno-gu
  • Seoul
  • Republic of Korea
  • Phone: 82 2-2072-0688
  • Fax: 82 2-762-9662
  • Email: choiek417@gmail.com