基于小波变换的ECG信号去噪研究

Research on Denoising of ECG Signals Based on Wavelet Transform

该文采用三种常见的小波去噪方法对ECG信号去噪,首先对去噪原理进行分析,再利用MATLAB进行仿真实验,对MIT-BIH数据库中的同一个心电信号使用三种小波去噪算法和选择不同的小波基函数进行去噪处理,最后对去噪的结果进行定性和定量分析,得出最适合用于ECG信号的小波去噪算法。

Three common wavelet denoising methods are used to denoise ECG signals, the theorem of denoising is analyzed at first, and then simulation experiments are done in MATLAB. Three kinds of wavelet denoising algorithms and different wavelet base functions are chosen to denoise the same ECG signal in MIT-BIH database. Finally, the denoising results are qualitatively and quantitatively analyzed, in the purpose of obtaining the most suitable wavelet denoising algorithm for ECG signals.