关键词: 心电图, 贝叶斯分类, 支持向量机, 组合分类器, 特征

Abstract: Electrocardiogram is an important approach to diagnose cardiovascular disease. The paper put forward a new classifier which combined two classifiers， Bayes classifier and Support Vector Machine (SVM) classifier, and diagnosed five types of cardiovascular diseases making use of this new approach. The experiments show that the accuracy of the combined classifier is higher than that of Bayes classifier and SVM classifier respectively when training and testing the data in MIT-BIH arrythmia database.

Key words: Electrocardiogram (ECG), Bayes classification, Support Vector Machine (SVM), combined classifier, feature