Determination of R-peaks in ECG Signal Using Hilbert Transform and Pan-Tompkins Algorithms

Abstract

Electrocardiogram (ECG) illustrates the electrical activity in the heart, and it is the most important physiological parameter that gives the correct assessment regarding the functioning of the heart. Accurate detection of R peaks in the ECG signal is an important parameter in determining of heart disorders. In this study, The R peaks of ECG records from the Physionet MIT-BIH arrhythmia database were detected using Hilbert Transform and Pan-Tompkins Algorithms. The Pan-Tompkins R peak detector is validated using the ECG records of the MIT-BIH arrhythmia database, and achieves with detection accuracy of 97.12%, sensitivity of 98.46% and positive predictivity of 98.62%.