Performance of an Automated Photoplethysmography-based Artificial Intelligence Algorithm to Detect Atrial Fibrillation

Overview

Journal Cardiovasc Digit Health J

Specialty Cardiology & Vascular Diseases

Date 2022 Mar 10

PMID 35265881

Authors

Daniel Mol

Robert K Riezebos

Henk A Marquering

Marije E Werner

Trudie C A Lobban

Jonas S S G de Jong

Joris R de Groot

Affiliations

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References

Zoni-Berisso M, Lercari F, Carazza T, Domenicucci S . Epidemiology of atrial fibrillation: European perspective. Clin Epidemiol. 2014; 6:213-20. PMC: 4064952. DOI: 10.2147/CLEP.S47385. View

Rozen G, Vaid J, Hosseini S, Kaadan M, Rafael A, Roka A . Diagnostic Accuracy of a Novel Mobile Phone Application for the Detection and Monitoring of Atrial Fibrillation. Am J Cardiol. 2018; 121(10):1187-1191. DOI: 10.1016/j.amjcard.2018.01.035. View

Brasier N, Raichle C, Dorr M, Becke A, Nohturfft V, Weber S . Detection of atrial fibrillation with a smartphone camera: first prospective, international, two-centre, clinical validation study (DETECT AF PRO). Europace. 2018; 21(1):41-47. PMC: 6321964. DOI: 10.1093/europace/euy176. View

Fan Y, Li Y, Li J, Cheng W, Shan Z, Wang Y . Diagnostic Performance of a Smart Device With Photoplethysmography Technology for Atrial Fibrillation Detection: Pilot Study (Pre-mAFA II Registry). JMIR Mhealth Uhealth. 2019; 7(3):e11437. PMC: 6423467. DOI: 10.2196/11437. View

Chan P, Wong C, Poh Y, Pun L, Leung W, Wong Y . Diagnostic Performance of a Smartphone-Based Photoplethysmographic Application for Atrial Fibrillation Screening in a Primary Care Setting. J Am Heart Assoc. 2016; 5(7). PMC: 5015379. DOI: 10.1161/JAHA.116.003428. View