Journal of Soft Computing and Applications

Volume 2013 (2013), Article ID jsca-00020, 9 Pages

doi: 10.5899/2013/jsca-00020

Research Article

A model presented for classification ECG signals base on Case-Based Reasoning

Elaheh Sayari1 *, Mahdi Yaghoobi1

1Computer engineering department, Mashhad branch, Islamic Azad University, Mashhad, Iran

* Corresponding author. Email address:; Tel: +989178849311

Received: 15 December 2012; Accepted: 24 January 2013

Copyright © 2013 Elaheh Sayari and Mahdi Yaghoobi. 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.


Early detection of heart diseases/abnormalities can prolong life and enhance the quality of living through appropriate treatment; thus classifying cardiac signals will be helped to immediate diagnosing of heart beat type in cardiac patients. The present paper utilizes the case base reasoning (CBR) for classification of ECG signals. Four types of ECG beats (normal beat, congestive heart failure beat, ventricular tachyarrhythmia beat and atrial fibrillation beat) obtained from the PhysioBank database was classified by the proposed CBR model. The main purpose of this article is classifying heart signals and diagnosing the type of heart beat in cardiac patients that in proposed CBR (Case Base Reasoning) system, Training and testing data for diagnosing and classifying types of heart beat have been used. The evaluation results from the model are shown that the proposed model has high accuracy in classifying heart signals and helps to clinical decisions for diagnosing the type of heart beat in cardiac patients which indeed has high impact on diagnosing the type of heart beat aided computer.

Keywords: Heart; Classifying; Case Base Reasoning; Beat; Computer.


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