小波分析在心磁信号辅助诊断中的应用  

Application of Wavelet Analysis in MCG Signal Processing

作　　者：顾晴雯[1] 蒋式勤[1] 

机构地区：[1]同济大学电子与信息工程学院,上海201804

出　　处：《现代科学仪器》2007年第6期64-67,共4页Modern Scientific Instruments

基　　金：上海市科学发展基金资助(项目编号:03ZR14092和项目编号:054407061)。

摘　　要：本文用小波变换方法,分析了用超导量子干涉器(SQUID)检测得到的人体心磁信号的频率,提取了它的瞬时频率和包络信息,建立了表征QRS波群形状变异的参数P_N,Q_N,V_P和V_Q。通过数字仿真,检验了这些参数的效果,并给出了多组心磁实测数据表征参数的分析结果。In this paper, wavelet transform is used to analyse the frequency of MCG signals and extract information-instantaneous frequency and envelope with MCG signals, which is detected by the SQUID from the surface of human thorax. In order to characterize the variance of the shape of complex QRS, the parameter PN, QN, Ve and VQ are proposed. Though digital simulation, we determine the validity of the parameters PN, QN, TP and VQ. Also we give some calculating results with real MCG signal,data of four subjects.

关 键 词：心磁信号 小波变换 信息提取 SQUID 

分 类 号：R318[医药卫生—生物医学工程]