A Bi-LSTM and a 1D-CNN trained on public ECG datasets classify arrhythmias with reported accuracies up to 99%, but the evaluation likely suffers from data leakage.
Computational Diagnostic Techniques for Electrocardiogram Signal Analysis,
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Electrocardiogram (ECG) Based Cardiac Arrhythmia Detection and Classification using Machine Learning Algorithms
A Bi-LSTM and a 1D-CNN trained on public ECG datasets classify arrhythmias with reported accuracies up to 99%, but the evaluation likely suffers from data leakage.