分数阶傅里叶变换在心电信号处理中的应用

摘要

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 Fra%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。