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2020 Computing in Cardiology Conference (CinC)
A broad variety of algorithms for detection and classification of rhythm and morphology abnormalities in ECG recordings have been proposed in the last years. Although some of them have reported very promising results, they have been mostly validated on short and non-public datasets, thus making their comparison extremely difficult. PhysioNet/CinC Challenge 2020 provides an interesting opportunity to compare these and other algorithms on a wide set of ECG recordings. The present model wasdoi:10.22489/cinc.2020.305 fatcat:iptgkvjlufefvbwpcsppsh7j3q