MORIER , Maëlis

Electrocardiograms are still vastly stored on paper, which restrains the development of data-driven algorithms for their analysis. We propose in this manuscript an efficient method to digitize Electrocardiogram (ECG) signals from paper images, as part of the "Digitization and Classification of ECG Images: The George B. Moody PhysioNet Challenge...