[An atrial fibrillation prediction model based on quantitative features of electrocardiogram during sinus rhythm in the Chinese population].
The composite model incorporating quantitative ECG features during sinus rhythm, along with age and gender, can effectively predict AF risk in the Chinese population, thus providing a low-cost screening tool for early AF risk assessment and management.
Authors
- Yajun Shi
- Tao Chen (ORCID: https://orcid.org/0000-0002-5489-6450)
- Jiancheng Xiu (ORCID: https://orcid.org/0000-0001-5433-2586)
- Qingsong Wang (ORCID: https://orcid.org/0000-0001-5858-3622)
- Tingting Song (ORCID: https://orcid.org/0000-0002-2970-0129)
- Jun Guo
- Juan Shen
- Xiaoqing Zhu
Institutions
- Southern Medical University (CN)
Publication Details
- Journal
- PubMed
- Published
- 2025-02-20
- DOI
- https://doi.org/10.12122/j.issn.1673-4254.2025.02.02
- Primary Topic
- ECG Monitoring and Analysis
- Type
- article