基于小波变换心电信号消噪方法研究

Research Methods on the Electrocardiogras(ECG) Signal Denoising Based on Wavelet Transform

小波变换是近年来兴起的热门信号处理技术,是一种非常有用的信号处理工具。本文阐述了连续小波去噪和离散小波去噪的原理,分析了基于小波去噪的几种不同方法(其中包括小波分解与重构,小波变换阈值法,小波变换模极大值法,以及它与独立分量分析相结合去除噪声的方法等)。通过检测和验证,表明该方法能较好的实现心电信号的消噪,都取得了较好的效果;同时,比较了每种方法的不足和缺陷。基于小波变换心电信号消噪的研究进展较快,通过多种方法结合运用进行消噪并取得了很好的效果,展望了利用基于小波变换心电信号消噪的前景。

Wavelet transform is a new kind of analytical method in time-scali domain, and is a useful kind of tool. In this paper, the principles of the Continuous Wavelet Transform and Discrete Wavelet Transform denoising were discussed. And then the several denoising methods were studied, including wavelet analysis and methods, analysis of electrocardiogram signial based on independent component analysis and so on. Experiments showed that the proposed methods sliminate the noise was effective, and the methods could achieve satisfying results; but methods have some defects. The progress forward on the electrocardiogras （ECG） signal denoising was based on wavelet transform, recently using different methods removed the noise, and could achieve effective results. At last, the prospect of ECG singal denoising based on wavelet transformation was given.