小波分析应用于对心电图信号实时处理的研究

The Research on Real-time Processing of Electrocardiogram Signals Using Wavelet Analysis

简要介绍了小波变换原理和Mallat快速小波变换算法 ,重点介绍了如何运用小波分析对心电图 (Electrocardiogram ,ECG)信号消噪 ,并解决了它所涉及到的问题 :小波函数的选取、噪声频段的分析、阈值处理和解决了在ECG信号采样中实时小波滤波所遇到的问题———数据滤波前的分段和滤波后的衔接 .通过实验的证明 ,提出的方法能够很好地滤除ECG信号中的基线漂移、工频干扰、肌电干扰和其它高频干扰 。

This paper simply introduces the theory of wavelet transformation and Mallat algorithm,and detailedly introduces how to use wavelet analysis to denoise Electrocardiogram(ECG)signals.The problems involved are solved,including the selection of wavelet function,analysis of the frequency segment of ECG noise and processing of the threshold.In additon,the problems that real_time wavelet filtering in the sampling of ECG signals involves are also solved:subsection of data before filtering and linking of data after filtering.The results of experiments have proved that this method can effectively remove the ECG noise:baseline drift,50Hz powerline interference,Electromyogram interference and other high_frequency interference.Besides,the quality of real time of wavelet filtering in the sampling of ECG signals is relatively good.