ECG Based Human Identification using Wavelet Distance Measurement

摘要：

In this Paper a new approach is proposed for electrocardiogram (ECG) based human identification using wavelet distance measurement. The main advantage of this method is that it guarantees high accuracy even in abnormal cases. Furthermore, it possesses low sensitivity to noise. The algorithm was applied on 11 normal subjects and 10 abnormal subjects of MIT-BIH Database using single lead data, and a 100％ human identification rate was on both normal and abnormal subjects. Adding artificial white noise to signals shows that the method is nearly accurate in SNR level above 5dB in normal subjects and 20dB in abnormal subjects.

关键词： component Human Identification ECG Classification Discrete Wavelet Transform

作者: Morteza Elahi Naraghi Mohammad Bagher ShamsollahiBiSIPL

作者单位: BiSIPL, School of Electrical Engineering Sharif University of Technology Tehran, Iran School of Electrical Engineering Sharif University of Technology Tehran, Iran

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: 714-717

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）