A Robust Approach for R-Peak Detection

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Author(s)

Amana Yadav 1,* Naresh Grover 1

1. Department of Electronics and Communication Engineering, Manav Rachna International University, India

* Corresponding author.

DOI: https://doi.org/10.5815/ijieeb.2017.06.06

Received: 23 Jun. 2017 / Revised: 15 Jul. 2017 / Accepted: 1 Aug. 2017 / Published: 8 Nov. 2017

Index Terms

ECG, R-peak detection, QRS complex, P-QRS-T waves, sampling frequency, Cardiac arrhythmia, MATLAB

Abstract

Electrocardiogram (ECG) is very crucial and important tool to detect the cardiac problems. For ECG analysis, it is essential to measure ECG parameter accurately. It is very critical in all types of ECG application. The accurate R Peaks detection is starting step in extracting ECG features which is necessary for the other ECG performance stages. It is very essential to detect these R-peaks accurately and efficiently to detect heart diseases or anomalies which create primary source of death in the universe. Hence automatic R-peaks detection in a lengthy duration ECG signal is very meaningful to diagnose the cardiac disorders. Here a latest R-peak exposure algorithm depended on Shannon energy envelope estimator and logic to find peaks has been proposed which uses the simple threshold of Shannon energy.

Cite This Paper

Amana Yadav, Naresh Grover, "A Robust Approach for R-Peak Detection", International Journal of Information Engineering and Electronic Business(IJIEEB), Vol.9, No.6, pp. 43-50, 2017. DOI:10.5815/ijieeb.2017.06.06

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