Identifying the presence of atrial fibrillation during sinus rhythm using a dual-input mixed neural network with ECG coloring technology
This study introduces an ECG colorization approach to enhance atrial fibrillation (AF) detection using deep learning and demographic data, improving performance compared to ECG-only methods. This method is effective in identifying high-risk and low-risk populations, providing valuable features for future AF research and clinical applications, as well as benefiting ECG-based classification studies.
Authors
- Shih‐Lin Chang (ORCID: https://orcid.org/0000-0001-7030-8471)
- Chin‐Yu Lin (ORCID: https://orcid.org/0000-0003-2304-7381)
- Shin-Huei Liu
- I‐Chien Wu (ORCID: https://orcid.org/0000-0002-6916-8165)
- Chien‐Chao Tseng (ORCID: https://orcid.org/0000-0001-9654-0084)
- Henry Horng‐Shing Lu (ORCID: https://orcid.org/0000-0002-4392-3361)
- Ching-Chun Huang (ORCID: https://orcid.org/0000-0002-4382-5083)
- Ting‐Yung Chang (ORCID: https://orcid.org/0000-0002-2612-0057)
- Ling Kuo (ORCID: https://orcid.org/0000-0002-8604-6151)
- Weiwen Chen
- Yufeng Hu (ORCID: https://orcid.org/0000-0002-9777-3805)
- Chih‐Min Liu (ORCID: https://orcid.org/0000-0002-7235-273X)
- Jacky Chung‐Hao Wu (ORCID: https://orcid.org/0000-0002-8080-5487)
- Cheng‐I Wu (ORCID: https://orcid.org/0000-0002-5879-4136)
- Pei‐Fen Chen (ORCID: https://orcid.org/0000-0001-5470-321X)
- Li-Wei Lo
- Tze‐Fan Chao
- Ta-Chuan Tuan
- Jo-Nan Liao
- Yenn-Jiang Lin
- Fa-Po Chung
- Shih‐Ann Chen
Institutions
- National Yang Ming Chiao Tung University (TW)
- Kaohsiung Medical University (TW)
- National Chung Hsing University (TW)
- National Health Research Institutes (TW)
- Cornell University (US)
- Taipei Veterans General Hospital (TW)
- Taichung Veterans General Hospital (TW)
Publication Details
- Journal
- BMC Medical Research Methodology
- Published
- 2024-12-23
- DOI
- https://doi.org/10.1186/s12874-024-02421-0
- Primary Topic
- Atrial Fibrillation Management and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science and Technology Council