Evaluation of an algorithm-guided photoplethysmography for atrial fibrillation burden using a smartwatch.

Zixu ZhaoQifan LiSitong LiQi GuoXiaowen BoXiangyi KongShijun XiaXin LiWenli DaiLizhu GuoXiao-Xia LiuChao JiangXueyuan GuoNian LiuSongnan LiZixu ZhaoCaihua SangDe-Yong Long Chunguang Qiu Chang Sheng Ma

Published in: Pacing and clinical electrophysiology : PACE (2024)

Our results showed the smartwatch with an algorithm-based PPG monitor has good accuracy and stability in continuously monitoring AF burden compared with ECG patch monitors, indicating its potential for diagnosing and managing AF.

Keyphrases

atrial fibrillation
machine learning
heart rate
deep learning
oral anticoagulants
catheter ablation
left atrial
left atrial appendage
direct oral anticoagulants
heart failure
risk factors
heart rate variability
percutaneous coronary intervention
neural network