计算机与数字工程2018，Vol.46Issue(6)：1099-1103,5.DOI:10.3969/j.issn.1672-9722.2018.06.007
基于心电信号的生物特征提取和识别
Feature Extraction and Identification of Biometric Information from ECG
冯玉蓉 1陈玮 2蔡光跃3
作者信息
- 1. 上海电子信息职业技术学院电子工程系 上海 201411
- 2. 浙江大学生物医学工程及仪器科学学院 杭州 310027
- 3. 上海电子信息职业技术学院通信与信息工程系 上海 201411
- 折叠
摘要
Abstract
Human body physiological characteristics such as fingerprint,face,palm,iris and retina have been widely used in the field of commercial biometrics,However,these kinds of features are static,which are easy to be copied and forged. In recent years,the physiological characteristics of human body,such as EGC and heart sound,have been proved to be used in biological rec?ognition. This paper reports a biometric identification algorithm based on ECG signals. In this method,raw ECG signals are first fil?tered by wavelet,and then classified by SVM. In this research,24 datasets collected from 12 subjects are used to test the method. Result show that 21 can be successfully identified,the success rate is 87.5%.关键词
心电信号/小波去噪/支持向量机/生物识别Key words
ECG/wavelet de-noising/SVM/biometrics分类
信息技术与安全科学引用本文复制引用
冯玉蓉,陈玮,蔡光跃..基于心电信号的生物特征提取和识别[J].计算机与数字工程,2018,46(6):1099-1103,5.
