A Novel Approach for Detecting QRS Complex of ECG signal

Abstract

In this study, an automatic approach for detecting QRS complexes and evaluating related R-R intervals of ECG signals (PNDM) is proposed. It reliably recognizes QRS complexes based on the deflection occurred between R & S waves as a large positive and negative interval with respect to other ECG signal waves. The proposed detection method follows new fast direct algorithm applied to the entire ECG record itself without additional transformation like discrete wavelet transform (DWT) or any filtering sequence. Mostly used records in the online ECG database (MIT-BIH Arrhythmia) have been used to evaluate the new technique. Moreover it was compared to seven existing techniques; the results show that PNDM has much detection performances according to 99.95% sensitivity and 99.97% specificity. It is also quickest than comparable methods.