R Peak Detection using Empirical Mode Decomposition with Shannon Energy Envelope

Abstract

R peak is an important parameter of ECG for monitoring the cardiac health. In this paper we present R peak detection algorithm from electrocardiogram (ECG) signal using Empirical Mode Decomposition (EMD) with combination of Shannon Energy Envelope. In this algorithm the ECG signal is decomposed by using the EMD and for highlighting the QRS complex we have take summation of first three Intrinsic Mode Functions (IMFs). The Shannon energy envelope is used for obtaining the envelope for detection of R peaks. MIT-BIH arrhythmia database is used for evaluation of proposed algorithm and compared with existing techniques. The comparison results shows that the proposed methodology is superior providing sensitivity of 97.85 %, positive predictive rate of 98.15% and accuracy of 98.19% of our proposed algorithm.