[Application of differential wavelet in detecting QRS complexes of ECG signal]

Abstract

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%.