基于小波变换的QRS波检测

Detection of QRS Complexes Based on Wavelet Transform

目的 将小波变换应用于ECG信号QRS波检测 ,提高QRS波的正确检测率。方法 利用二进Marr小波对ECG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 ,在检测中还运用了一系列策略以增强算法的抗干扰能力。结果 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%。结论 小波技术在ECG信号消噪和精确定位显示良好的性能 ;

Objective An algorithm based on wavelet transforms(WT's) has been developed for detecting QRS complexes of ECG signal to improve the correct detection rate of QRS complexes.Methods 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 and 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.Results Verified by the MIT-BIH Arrhythmia Database, the correct detection rate of QRS complexes is above 99.8%. Conclusion Technique based on wavelet shows perfect performance on ECG signal's noise reduction and accurate localization. Different wavelet function directly affect the results and other detection tactics later on.