Paper
5 August 2009 Application of differential evolution for optimization of least-square support vector machine classifier of signal-averaged electrocardiograms
Sebastian Krys, Stanislaw Jankowski, Ewa Piatkowska-Janko
Author Affiliations +
Proceedings Volume 7502, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2009; 75022T (2009) https://doi.org/10.1117/12.839618
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2009, 2009, Wilga, Poland
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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sebastian Krys, Stanislaw Jankowski, and Ewa Piatkowska-Janko "Application of differential evolution for optimization of least-square support vector machine classifier of signal-averaged electrocardiograms", Proc. SPIE 7502, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2009, 75022T (5 August 2009); https://doi.org/10.1117/12.839618
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KEYWORDS
Electronic filtering

Electrocardiography

Evolutionary algorithms

Binary data

Optimization (mathematics)

Chromium

Lead

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