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Proceedings Paper

Application of differential evolution for optimization of least-square support vector machine classifier of signal-averaged electrocardiograms
Author(s): Sebastian Krys; Stanislaw Jankowski; Ewa Piatkowska-Janko
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Paper Abstract

This paper presents the application of differential evolution, an evolutionary algorithm of solving a single objective optimization problem - tuning the hiperparameters of least-square support vector machine classifier. The goal was to improve the classification of patients with sustained ventricular tachycardia after myocardial infarction based on a signal-averaged electrocardiography dataset received from the Medical University of Warsaw. The applied method attained a classification rate of 96% of the SVT+ group.

Paper Details

Date Published: 5 August 2009
PDF: 7 pages
Proc. SPIE 7502, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2009, 75022T (5 August 2009); doi: 10.1117/12.839618
Show Author Affiliations
Sebastian Krys, Warsaw Univ. of Technology (Poland)
Stanislaw Jankowski, Warsaw Univ. of Technology (Poland)
Ewa Piatkowska-Janko, Warsaw Univ. of Technology (Poland)


Published in SPIE Proceedings Vol. 7502:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2009
Ryszard S. Romaniuk; Krzysztof S. Kulpa, Editor(s)

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