体表电位标测中的关键技术——心电信号的数字滤波  

A Key Technology in Body Surface Potential Acquisition System——Electrocardiological Signal Digital Filter

作　　者：李安[1] 

机构地区：[1]南昌航空工业学院电子系,江西南昌330034

出　　处：《南昌航空工业学院学报》2001年第3期7-12,共6页Journal of Nanchang Institute of Aeronautical Technology（Natural Science Edition）

摘　　要：小波分析在数字滤波领域中具有广大的应用前景,尤其是对具有时变特性的人体心电信号。该文介绍了如何利用coiflet小波对心电信号进行多分辨率分解和重建,并解决了小波分析在心电信号滤波中会遇到的一些实际问题,比如小波基函数的选取,确定心电信号及噪声的频域表现和小波在不同尺度下的通带。实验结果证明,用coiflet小波对心电信号进行数字滤波,能很好地消除心电信号中的三大干扰:基线漂移、工频干扰和肌电干扰。This article introduces the wavelet basic theory and its important role in digital filtering area,and describes how to decompose and reconstruct the electrocardiological signal with Coif Wavelet and Mallet algorithm.It can solve the following three problems:1.selection of wavelet function;2.determination of frenqency feature of electrocardiological signal and noise;3.and determination of wavelet bandwidth in different measure.The results of experiments have proved that,by using Coiflet wavelet to filter electrocardiological signal,the baseline drift,powerline interference and electromyographical interference can be effectively removed.

关 键 词：小波函数 多分辨率分析 MALLAT算法 心电信号 数字滤波 人体 体表电位标测 抗干扰 

分 类 号：R540.41[医药卫生—心血管疾病] TN713.7[医药卫生—内科学]