A Critical Review of Various Peak Detection Techniques of ECG Signals

Desh Deepak Gautam*, V. K. Giri**
* Research Scholar, Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India.
** Professor, Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India.
Periodicity:July - September'2016
DOI : https://doi.org/10.26634/jdp.4.3.8145

Abstract

ECG is an important signal which is most commonly used for the diagnosing of various heart diseases. The analysis of an ECG signal includes preprocessing and feature extraction. Signal processing of an ECG wave, which includes noise reduction and R-Peak detection of the signal, is one of the most important part for its analysis. The presented paper discusses several techniques of noise reduction and R-Peak detection which were proved effective in last few decades. Efficiency of various methods can be defined in terms of detection error rate. Latest research has shown very effective results with error rate less than 0.3%.

Keywords

Signal Processing, R-Peak Detection, Hilbert Transform, SVM.

How to Cite this Article?

Gautam, D.D., and Giri, V.K. (2016). A Critical Review of Various Peak Detection Techniques of ECG Signals. i-manager’s Journal on Digital Signal Processing, 4(3), 27-36. https://doi.org/10.26634/jdp.4.3.8145

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