小波滤波与QRS波检测  

Wave flitering and QRS detection

作　　者：杨思军[1] 郝继飞[1] 闫文杰[1] 丁小平[1] 

机构地区：[1]中国矿业大学信息与电气工程学院,江苏徐州221008

出　　处：《计算机工程与应用》2011年第12期239-241,共3页Computer Engineering and Applications

基　　金：江苏高校高新技术产业发展项目(No.JHZD05-012)

摘　　要：利用双正交样条小波等效滤波器,实现了ECG信号的小波分解和重建。分析心电信号奇异点与其小波变换模极大值对的零交叉点的关系,提出了心电信号QRS波检测的算法。在检测算法中还使用了一系列策略来提高算法的抗干扰能力和QRS检测的准确性。经MIT/BIH心律失常数据库验证,QRS波的正确检测率达99.506%。最后将该算法应用到Windows Mobile智能手机上的心电监护系统中,达到令人满意的效果。ECG signal＇s decomposer and reconstruction have been achieved by using a biorthogonal filter bank based on quadratic spline wavelet.Analyzing the relationship between the signal singularity and the zero-crossing point of the modulus maximum pair of its wavelet transform, QRS complexes detected arithmetic is proposed.Some strategies are applied to improve the arithmetic anti-jamming ability against noise and to increase the QRS detection veracity.The correctness of QRS complexes detection rate can be up to 99.506%, which has been validated by Mrr/BIH ECG signal database.Finally,this arithmetic is applied to the ECG monitoring system based on the Windows Mobile smart phones and achieves satisfactory results.

关 键 词：双正交样条小波 心电信号 QRS波检测 

分 类 号：TP311.5[自动化与计算机技术—计算机软件与理论]