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ECG (electrocardiogram) data classification has a great variety of applications in health monitoring and diagnosis facilitation. In this paper, previous work on automatic ECG data classification is overviewed, the idea of applying deep learning tools, i.e. caffe is proposed, and the classification system is built. Result shows the effectiveness of Convolutional Neural Network as the method to ECG classification.