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.
ECG-Image-Kit: A Toolkit for Synthesis, Analy- sis, and Digitization of Electrocardiogram Images,
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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.