基于小波变换自适应滤波方法的ECG信号消噪

ECG signal denoising based on wavelet transform and adaptive filter

为了减少在用小波变换方法进行心电信号消噪时所产生的心电信息损失,本文在对心电信号进行离散正交小波变换的基础上,进行自适应滤波处理,即以具有最大QRS波能量的尺度上的高频细节信号作为自适应滤波器的参考输入,以噪声干扰对应的分解尺度上的“细节”分量及最大分解尺度上的近似分量所重构的信号作为原始输入.实验证明这种改进的滤波方法可以在有效抑制心电信号中噪声干扰的同时,较好保持心电信号的波形特征及有用的心电信息,达到较好的滤波效果.

For reducing the information lost of ECG signal in the denoising method of wavelet transform, a modified method based on wavelet transformation and adaptive filter was designed. The ECG signal was decomposed into multi -scale components by DWT. The detail signal of the scale with the most QRS energy was used as the reference signal of the adaptive filter, and the reconstructed signal of noises was used as the original signal. The experimental results demonstrated that the noise of ECG signal was successfully removed, the useful ECG information was perfectly preserved, and the modified denoising method was efficient and had better capability of filtering.