How to recognize and diagnose heart diseases, as one of the most frequent issues, is a serious problem. ECG automation recognition is not only the target of medicine, but also the work of computer science. In this paper, the approaches to ECG recognition are reviewed, and their characters are analyzed. With the background of wearable wireless ECG monitor, on the basis of experts' experience in ECG recognition, the imagery thinking-based new method, in which morphology parameters are considered, is presented.
Algorithms ; Electrocardiography ; methods ; Humans ; Pattern Recognition, Automated ; Signal Processing, Computer-Assisted