  Cardiovascular disease is a major threat to health and one of the primary
causes of death globally. The 12-lead ECG is a cheap and commonly accessible
tool to identify cardiac abnormalities. Early and accurate diagnosis will allow
early treatment and intervention to prevent severe complications of
cardiovascular disease. In the PhysioNet/Computing in Cardiology Challenge
2020, our objective is to develop an algorithm that automatically identifies 27
ECG abnormalities from 12-lead ECG recordings.
