title: [ECG recognition and classification: approaches, problems and new method].
abstract: 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.
authors.affiliation: Software Engineering Institute, East China Normal University, Shanghai 200062, China. jdong@sei.ecnu.edu.cn
authors.forename: Jun
authors.initials: J
authors.lastname: Dong
authors.forename: Miao
authors.initials: M
authors.lastname: Xu
authors.forename: Congming
authors.initials: C
authors.lastname: Zhan
authors.forename: Welfeng
authors.initials: W
authors.lastname: Lu
mesh_terms: D000465:Algorithms; D004562:Electrocardiography / Q000379:methods*; D006801:Humans; D010363:Pattern Recognition, Automated; D012815:Signal Processing, Computer-Assisted