Enhancing myocardial infarction detection with vectorcardiography: fusion-based comparative analysis of machine learning methods
Jaroslav Vondrak, Marek Penhaker · 2026
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Description
Jaroslav Vondrak and Marek Penhaker spot heart attacks from vector heart traces in a 2025 paper, per its head. A vector trace adds space facts that a plain heart trace can miss. Early spotting of a heart attack can save lives with fast care.
Shape traits were drawn from traces in a known Berlin data set. Over two hundred machine learning setups were fed those traits and matched. Each method family, from near neighbor to deep nets, got a fair run. The match tells which learner reads vector traits best. Such tools could back doctors in fast chest pain calls.
Catalog record
| CREATOR | Jaroslav Vondrak, Marek Penhaker |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 79 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |