CardioLearn: A Cloud Deep Learning Service for Cardiac Disease Detection from Electrocardiogram

Abstract

Electrocardiogram (ECG) is one of the most convenient and non-invasive tools for monitoring peoples’ heart condition, which can use for diagnosing a wide range of heart diseases, including Cardiac Arrhythmia, Acute Coronary Syndrome, et al. However, traditional ECG disease detection models show substantial rates of misdiagnosis due to the limitations of the abilities of extracted features. Recent deep learning methods have shown significant advantages, but they do not provide publicly available services for those who have no training data or computational resources.