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

Soonil Kwon | Zendy; Joonki Hong | Zendy; EueKeun Choi | Zendy; Byunghwan Lee | Zendy; Changhyun Baik | Zendy; Euijae Lee | Zendy; Eui–Rim Jeong | Zendy; BonKwon Koo | Zendy; Seil Oh | Zendy; Yung Yi | Zendy

Open Access

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

Author(s) -

Soonil Kwon,

Joonki Hong,

EueKeun Choi,

Byunghwan Lee,

Changhyun Baik,

Euijae Lee,

Eui–Rim Jeong,

BonKwon Koo,

Seil Oh,

Yung Yi

Publication year - 2020

Publication title -

journal of medical internet research

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.446

H-Index - 142

eISSN - 1439-4456

pISSN - 1438-8871

DOI - 10.2196/16443

Subject(s) - photoplethysmogram , atrial fibrillation , medicine , cart , wearable computer , sinus rhythm , cardioversion , cardiology , electrocardiography , wearable technology , prospective cohort study , pulse (music) , computer science , computer vision , mechanical engineering , filter (signal processing) , engineering , embedded system , telecommunications , detector

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