Application of photoplethysmography for atrial fibrillation in early warning, diagnosis and integrated management.
10.7507/1001-5515.202206005
- Author:
Meihui TAI
1
;
Zhigeng JIN
1
;
Hao WANG
2
;
Yutao GUO
1
Author Information
1. Department of Cardiopulmonary vascular and Thrombotic Diseases, Sixth Medical Department, Chinese PLA General Hospital, Beijing 100048, P. R. China.
2. Department of Cardiology, The Second Medical Center, Chinese PLA General Hospital, Beijing 100853, P. R. China.
- Publication Type:Journal Article
- Keywords:
Artificial intelligence;
Atrial fibrillation;
Mobile health technology;
Photoplethysmography;
Wearables
- MeSH:
Humans;
Atrial Fibrillation/therapy*;
Photoplethysmography;
Artificial Intelligence;
Electrocardiography;
Biomedical Technology
- From:
Journal of Biomedical Engineering
2023;40(6):1102-1107
- CountryChina
- Language:Chinese
-
Abstract:
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.
