Electrocardiograms (ECGs) are widely used to detect cardiovascular disease (CVD). Deep learning is a topic of interest in healthcare, which timely detection ECG anomalies can play vital role patient monitoring. However, automatic CVD via ECGs complex problem, where state-of-the-art performance achieved typically by the rule-based diagnosis models, inefficient deal with large amount heterogeneou...