Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia. Early diagnosis and effective management are important to reduce atrial fibrillation-related adverse events. Photoplethysmography (PPG) is often used to assist wearables for continuous electrocardiograph monitoring, which shows its unique value. The development of PPG has provided an innovative solution to AF management. Serial studies of mobile health technology for improving screening and optimized integrated care in atrial fibrillation have explored the application of PPG in screening, diagnosing, early warning, and integrated management in patients with AF. This review summarizes the latest progress of PPG analysis based on artificial intelligence technology and mobile health in AF field in recent years, as well as the limitations of current research and the focus of future research.
心房纤颤（AF）是最常见的快速性心律失常，早期诊断及有效管理是降低其不良事件的关键。光电容积脉搏波（PPG）常辅助可穿戴设备进行持续的心电监测，显示出其独特的价值。PPG技术的发展为AF管理提供了新的方案。一系列旨在用移动健康技术提高AF筛查及优化整合管理的研究，已经对PPG在AF患者的筛查、诊断、早期预警、整合管理等方面的应用进行了探索。本文总结了近年搭载PPG技术的人工智能及移动医疗在AF领域应用的最新进展，以及当前研究的局限性和未来研究的关注重点。.
Keywords: Artificial intelligence; Atrial fibrillation; Mobile health technology; Photoplethysmography; Wearables.