摘要
该文介绍了小波分析在数字滤波领域中的重要作用及其基本理论 ,并介绍了在心电信号数字滤波中 ,如何利用coiflet小波函数对原始的心电信号进行Mallat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三个实际问题 :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。通过实验证明 ,用coiflet小波对心电信号进行数字滤波 ,能很好地抑制信号中的基线漂移、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 Mallat algorithm, three problems were solved: 1. selection of wavelet function; 2. determination of the 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.
出处
《计算机仿真》
CSCD
2001年第6期70-73,63,共5页
Computer Simulation
关键词
心电信号
数字滤波
小波分析法
心电图
Baseline drift Powerline interference and electromyographical interference Wavelet function Wavelet space Measure space Multi-resolution analysis Mallat algorithm
