二次微分小波在心电图QRS波检测中的应用

叙述将小波变换应用于ECG信号检测QRS波。利用二进Marr小波对信号按Mallat算法进行变换；从等效滤波器的角度分析了信号奇异点（R波峰值点）与其小波变换模极大值的关系；探讨了二次微分小波与一次微分小波在奇异点分析时性能上的差异。在检测中运用了一系列策略以增强算法的抗干扰能力，提高QRS波的正确检测率。经MIT／BIH标准心律失常数据库验证，QRS波的正确检测率高达99．8％。

Application of Differential Wavelet in Detecting QRS Comp lexes of ECG Signal

An algorithm based on wavelet transforms (WT'S) has been developed for detecting QRS complexes of ECG signal. In this paper, we use Mallat algorithm to calculate dyadic Marr wavelet transforms, analyse the relationship between singularity of the signal (the peak of R wave) and local maximal value of WT's from the view of equivalent wavelet filter, discuss the performance distinction between quadratic differential wavelet and single differential wavelet for singularity detection. Some other tactics are also applied to improve the anti interference performance of the algorithm and to increase the correct detection rate of QRS complexes. Verified by the MIT BIH Arrhythmia Database, the correct detection rate of QRS complexes is 99.8%.