Research Article Open Access

A New Ventricular Late Potential Classification System Using Ant Colony Optimization

A. Sankara Subramanian1, G. Gurusamy2 and G. Selvakumar2
  • 1 , Afganistan
  • 2 ,
Journal of Computer Science
Volume 8 No. 2, 2012, 259-264

DOI: https://doi.org/10.3844/jcssp.2012.259.264

Submitted On: 7 July 2011 Published On: 30 November 2011

How to Cite: Subramanian, A. S., Gurusamy, G. & Selvakumar, G. (2012). A New Ventricular Late Potential Classification System Using Ant Colony Optimization. Journal of Computer Science, 8(2), 259-264. https://doi.org/10.3844/jcssp.2012.259.264

Abstract

Problem statement: Ventricular Late Potentials (VLPs) are low-level high frequency signals that are usually found within the terminal part of the QRS complex from patients after myocardial infarction. Patients with VLPs are at risk of developing ventricular tachycardia, which is the major cause of death if patients suffering from heart disease. Approach: Discrete Wavelet Transform was used to detect VLPs and then ANT Colony Optimization (ACO) was applied to classify subjects with and without VLPs. Results: A set of Discrete Wavelet Transform (DWT) coefficients was selected from the wavelet decomposition. Three standard parameters of VLPs such as QRST, D40 and V40 were established. After that a novel clustering algorithm based on Ant Colony Optimization was developed for classifying arrhythmia types. Conclusion: The wavelet decomposition enabled us to perform the task efficiently and produced reliable results.

  • 1,142 Views
  • 1,718 Downloads
  • 1 Citations

Download

Keywords

  • Discrete wavelet transforms
  • ventricular late potentials
  • wavelet decomposition
  • Ant Colony Optimization (ACO)
  • Signal-Averaged Electrocardiograms (SAECGs)