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Computational and Mathematical Methods in Medicine
Volume 2017 (2017), Article ID 8081361, 16 pages
https://doi.org/10.1155/2017/8081361
Research Article

Shannon’s Energy Based Algorithm in ECG Signal Processing

Department of Electronic Engineering, Islamic Azad University, Tabriz Branch, Tabriz, Iran

Correspondence should be addressed to Nasser Lotfivand; ri.ca.tuaI@dnaviftoL

Received 20 July 2016; Revised 25 November 2016; Accepted 5 December 2016; Published 18 January 2017

Academic Editor: Luis J. Mena

Copyright © 2017 Hamed Beyramienanlou and Nasser Lotfivand. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Physikalisch-Technische Bundesanstalt (PTB) database is electrocardiograms (ECGs) set from healthy volunteers and patients with different heart diseases. PTB is provided for research and teaching purposes by National Metrology Institute of Germany. The analysis method of complex QRS in ECG signals for diagnosis of heart disease is extremely important. In this article, a method on Shannon energy (SE) in order to detect QRS complex in 12 leads of ECG signal is provided. At first, this algorithm computes the Shannon energy (SE) and then makes an envelope of Shannon energy (SE) by using the defined threshold. Then, the signal peaks are determined. The efficiency of the algorithm is tested on 70 cases. Of all 12 standard leads, ECG signals include 840 leads of the PTB Diagnostic ECG Database (PTBDB). The algorithm shows that the Shannon energy (SE) sensitivity is equal to 99.924%, the detection error rate (DER) is equal to 0.155%, Positive Predictivity (+P) is equal to 99.922%, and Classification Accuracy (Acc) is equal to 99.846%.