基于RFDA小波阈值的心电信号去噪算法  

ECG Signal Denoising Algorithm Based on RFDA Wavelet Threshold

作　　者：张锐[1] 钱超 ZHAN Rui;QIAN Chao(College of Automation,Harbin University of Science and Technology,Harbin Heilongjiang 150080,China)

机构地区：[1]哈尔滨理工大学自动化学院,黑龙江哈尔滨150080

出　　处：《计算机仿真》2022年第8期373-376,共4页Computer Simulation

摘　　要：由于传统的小波阈值去噪算法在处理心电信号时存在正交镜像滤波器没有理想截止特性的缺点,会导致心电信号分解得到的高频细节分量产生频域混叠现象,即混入不需要的其它频率成分,影响最终去噪效果。提出一种RFDA小波阈值去噪算法(去除频域混叠的小波阈值去噪算法),通过傅里叶正、逆变换在频率领域内去除高频细节分量中多余的频率成分,再经Stein无偏风险估计算法获得与传统算法相比更精准的阈值,进而利用硬阈值去噪函数处理得到更好去噪效果的心电信号。The traditional wavelet threshold de-noising algorithm has the disadvantage that the orthogonal image filter has no ideal cut-off characteristics when processing ECG signal,which will lead to the frequency domain aliasing phenomenon of high-frequency detail components obtained from ECG signal decomposition,that is,mixing other unnecessary frequency components,which will affect the final denoising effect.In this paper,a wavelet threshold denoising algorithm based on rfda is proposed.In the frequency domain,the redundant frequency components in high frequency detail components were removed by Fourier transform,and then Stein Unbiased Risk estimation algorithm was used to obtain a more accurate threshold compared with the traditional algorithm,and then hard threshold denoising function was used to obtain the ECG signal with better denoising effect.

关 键 词：心电图 小波阈值去噪 小波变换 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]