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 LongChunguang QiuChang Sheng MaPublished 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
- heart rate variability
- percutaneous coronary intervention
- risk factors
- coronary artery disease
- venous thromboembolism
- acute coronary syndrome