An end-to-end YOLOv11-based pipeline digitizes paper ECG images into calibrated 12-lead signals on CPU-only hardware in under 30 seconds and classifies myocardial infarction with up to 95.5% accuracy on PTB-XL and 88.9% on ECG-Matrix.
Resting 12-lead ECG tests performed by patients at home amid the COVID-19 pandemic — results from the first 1000 patients,
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ECGLight: Compute-Light Framework For Paper ECG Digitization and Myocardial Infarction Screening
An end-to-end YOLOv11-based pipeline digitizes paper ECG images into calibrated 12-lead signals on CPU-only hardware in under 30 seconds and classifies myocardial infarction with up to 95.5% accuracy on PTB-XL and 88.9% on ECG-Matrix.