An open-source framework and four synthetic ECG image datasets are released to support deep learning for digitization, lead detection, and overlapping waveform segmentation.
Digitizing paper based ecg files to foster deep learning based analysis of existing clinical datasets: An exploratory analysis
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An Open-Source Python Framework and Synthetic ECG Image Datasets for Digitization, Lead and Lead Name Detection, and Overlapping Signal Segmentation
An open-source framework and four synthetic ECG image datasets are released to support deep learning for digitization, lead detection, and overlapping waveform segmentation.