QRS Detection Using an Efficient Algorithm Based on Wavelet Coefficients

Abstract

This paper proposes an efficient method of QRS extraction from the ECG signal using wavelet coefficients. This method is composed of three parts. The extraction of QRS regions from details decompositions using an enhanced algorithm, the QRS detection by the elimination of falsely detected peaks and the extraction of higher peaks from the QRS complex. The proposed method has been tested on the 48 records of the MIT-BIH Arrhythmia database signals. The results obtained from this method are promising, compared to recently published techniques where the positive predictivity (Pp) is 99.91 %, and sensitivity (Se) is 99.77 %.