分数阶傅里叶变换在心电信号处理中的应用

The Applications of the Fractional Fourier Transform in the ECG Processing

心电信号作为人体生理信号之一,极易受到外界噪声的干扰。文中研究了一种针对这种非平稳的低频随机信号的降噪处理算法,即分数阶傅里叶变换域自适应滤波算法。目的是在不增加计算量的同时,提高信噪比。实验表明,这种方法能够有效地提高心电信号的信噪比,且能较清晰地还原出心电信号的波形及特征点。另外,如果在自适应过程中采用变步长的改进算法,可以显著地减少运算量。

As one of the physiological signals,ECG is vulnerable to be influenced by noises.The purpose of the paper is to develop a denoise algorithm which is used to the non stationary,low frequency and random signals.The algorithm is the adaptive filtering in Fractional Fourier transform domain.The algorithm＇s aim is improve SNR without increasing computation at the same time.Experiments show that the approach could improve the SNR of the ECG effectively,and it could restore the ECG waveform and feature points more clearly.In addition,if a variable step size would be taken in the adaptive processing,the computation of the algorithm will be reduce significantly.