基于小波变换与形态学运算的ECG自适应滤波算法

针对ECG信号常用滤波算法存在的缺陷,提出了基于小波变换与形态学运算的自适应滤波新算法。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,利用自适应滤波器调整对含噪ECG信号进行滤波处理。最后,经实验验证了本文算法的有效性。

An ECG Adaptive Filter Algorithm Based on Wavelet Transform and Mathematical Morphology

A new algorithm for ECG filter was proposed on the basis of wavelet transform and morphological filtering. After the baseline drift of the incoming ECG signals was removed with morphological method and the high-frequency noise was filtered with wavelet decompose, both of the noise result from these two filters were used as the reference noise input to an adaptive filter, and then the clean ECG signals were obtained after adjustment of adaptive filter. At last, the experiments showed that the algorithm was effective.