基于形态学与小波变换的信号自适应去噪算法

An Adaptive Denoising Algorithm Based on Morphology and Wavelet Transform

针对常规的ECG(electrocardiogram)信号去噪算法存在的缺陷,提出了一种基于形态学与小波变换的自适应综合去噪算法。该算法利用形态学滤波器去除基线漂移信号,用小波滤波器去除高频干扰信号,并将这两部分所得到的心电噪声分量作为自适应滤波器的参考输入信号,对ECG信号进行自适应滤波处理,最后得到去噪后的ECG信号。实验表明,本算法是一种有效的去噪算法。

This paper presents an algorithm for ECG denoising based on the morphology and wavelet transform. The baseline drift of the ECG signal is removed with the morphological method and the high-frequency noise was filtered with the wavelet transform. Both of the noise results from these two filters are then used as the reference noise input of an adaptive filter to obtain a clean ECG signal.