A novel method of BiFormer with temporal-spatial characteristics for ECG-based PVC detection
By integrating MTF and BiFormer, we effectively detected PVCs, facilitating an increased convergence between medicine and deep learning technology. We hope our model can help contribute to more accurate computational support for PVC diagnosis and treatment.
Authors
- Zhen Wang (ORCID: https://orcid.org/0009-0005-5376-8325)
- Bing Wang (ORCID: https://orcid.org/0000-0003-4945-7725)
- Yang Li (ORCID: https://orcid.org/0000-0003-4022-7341)
- Siyuan Chen (ORCID: https://orcid.org/0000-0001-9272-4804)
- Hao Wang (ORCID: https://orcid.org/0009-0001-6529-6282)
- Shuai Wang (ORCID: https://orcid.org/0000-0001-9521-5925)
Institutions
- Harbin Engineering University (CN)
- Heilongjiang University of Chinese Medicine (CN)
- First Affiliated Hospital of Heilongjiang University of Chinese Medicine (CN)
Publication Details
- Journal
- Frontiers in Physiology
- Published
- 2025-05-20
- DOI
- https://doi.org/10.3389/fphys.2025.1549380
- Primary Topic
- ECG Monitoring and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00