小波滤波与QRS波检测

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 QPS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 trausform, 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 MIT/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.