Enhancing myocardial infarction detection with vectorcardiography: fusion-based comparative analysis of machine learning methods
The results demonstrate that decision-level fusion via stacking improves classification performance and enhances the reliability of MI detection from VCG recordings, supporting cardiologists in decision-making.
Authors
- Marek Penhaker
- Jaroslav Vondrak
Institutions
- VSB - Technical University of Ostrava (CZ)
Publication Details
- Journal
- Frontiers in Physiology
- Published
- 2026-01-05
- DOI
- https://doi.org/10.3389/fphys.2025.1683956
- Primary Topic
- ECG Monitoring and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00