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This is a CNN based model which aims to automatically classify the ECG signals of a normal patient vs. a patient with AF and has been trained to achieve up to 93.33% validation accuracy.
Created 2019-03-29
8 commits to master branch, last one 3 years ago
The codes of paper "Electrocardio Panorama: Synthesizing New ECG views with Self-supervision"
Created 2021-05-05
120 commits to main branch, last one about a year ago
Generation of synthetic 12-lead electrocardiograms conditioned on 71 ECG statements from the PTB-XL dataset.
Created 2022-12-25
117 commits to main branch, last one 8 months ago