Abstract: Electrocardiogram (ECG) is one of the most common method in clinic. It is noninvasive, simple, rapid and cheap and has been widely used in clinic. However, the traditional ECG reporting method mainly relies on the manual measurement of electrocardiologists and technicians to analyze  ECG  and issue reports, which can not get rid of  slow speed,  low working efficiency and large deviation of measured data, affecting the reliability and accuracy of ECG reports. With the popularization of artificial intelligence,  the importance of intelligent ECG analysis is increasingly important. ECG intelligence analysis uses computer to analyze ECG,  measure necessary parameters, and then make correct diagnosis or evaluation according to clinical standard. It can reduce the workload of doctors and improve the accuracy of clinical index analysis. In this paper, the development background, present situation and prospect of intelligent analysis of ECG are reviewed.

Key words: electrocardiography, diagnosis