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Accepted for/Published in: JMIR Cardio

Date Submitted: May 26, 2025
Open Peer Review Period: May 26, 2025 - Jul 21, 2025
Date Accepted: Sep 4, 2025
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Photoplethysmography-Based Machine Learning Approaches for Atrial Fibrillation Burden: Algorithm Development and Validation

Wang H, Liu B, Zhang H, Zhang Z, jin z, Wang H, Guo YT

Photoplethysmography-Based Machine Learning Approaches for Atrial Fibrillation Burden: Algorithm Development and Validation

JMIR Cardio 2025;9:e78075

DOI: 10.2196/78075

PMID: 41213119

PMCID: 12599996

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Per the author's request this version is not available.