基于距离判别的心电身份识别技术研究  

The Study of ECG Identification Technology Based on Distance Discriminant

作　　者：洪远泉[1] 周永明[1] 郑春龙[1] 

机构地区：[1]韶关学院物理与机电工程学院,韶关512005

出　　处：《科学技术与工程》2014年第18期252-255,共4页Science Technology and Engineering

基　　金：国家自然科学基金项目(11172181);韶关学院校级科研基金项目(2012年1号文件)资助

摘　　要：针对传统生物特征身份识别技术易于破解的弊端,提出了心电信号身份识别技术。分析了心电信号身份识别的距离判别法则。结合马氏距离、小波距离、谱能量距离和相关距离算法,提出加权系数智能匹配算法。下位机利用双电极法采集心电信号,经串口送往上位机。Matlab软件平台下,编程实现心电信号数字处理和身份识别。通过对40个人的心电样本进行测试,获得了95%的识别结果。The identification of ECG signal technology is introduced aiming at the disadvantage of traditional biometric identification is easy to crack. It analyzes the distance discriminant rule of ECG signal identification. Algorithm of weighted coefficient of smart matching is proposed based on Mahalanobis distance, distance, wavelet energy spectrum distance and correlation distance algorithm. The lower machine uses two electrodes method to collect ECG signal and sends to the host computer via the serial port. ECG signal processing and identification are programmed under MATLAB software platform. The system obtains 95% recognition results through the test of 40 individual samples.

关 键 词：心电信号 身份识别算法 就近距离判别 数字滤波 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]