ECG identification based on Matching Pursuit

摘要：

Electrocardiogram (ECG) reflects cardiac electrical activity, and varies from person to person, which could be used for biometrics identification. ECG biometrics identification algorithm is presented in this paper based on Matching Pursuit (MP) and Support Vector Machine (SVM). The ECG signal is decomposed into atoms by sparse decomposition with Gabor dictionary which contain ECG signals important information. SVM is used to identify the person. Experiment shows that the performance of the system over 20 subjects is 95.3％.

关键词： electrocardiogram biometric identification support vector machine matching pursuit

作者: Zhidong Zhao Lei Yang

作者单位: College of Electronics and Information Hang Zhou DianZi University Hangzhou China College of Telecommunication Engineering Hang Zhou DianZi University Hangzhou China

会议类型: 国际会议

会议名称: 2011 4th International Conference on Biomedical Engineering and Informatics(第四届生物医学工程与信息学国际会议 BMEI 2011)

会议地点: 上海

会议语种:英文

页码: 718-721

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）