Cardiac Auscultation with Hybrid GA/SVM

  • Sasin Banpavichit
  • Waree Kongprawechnon
  • Kanokwate Tungpimolrut
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 209)

Abstract

Cardiac Auscultation is the act of listening to a heart sound with the purpose to analyze the condition of a heart. This paper proposes an alternative screening system for patients using a hybrid GA/SVM. GA/SVM technique will allow the system to be able to classify the heart sound base on the heart condition with high accuracy by using GA in a feature selection part of the system. This method improves the training input samples of SVM resulting in a better trained SVM to classify the heart sound. GA in the system is used to generate the best set of weighing factor for the processed heart sound samples. The system will be low cost but has high accuracy.

Keywords

Cardiac Auscultation Genetics Algorithm Support Vector Machine Wavelet packet Shannon’s Entropy PCA 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Sasin Banpavichit
    • 1
  • Waree Kongprawechnon
    • 1
  • Kanokwate Tungpimolrut
    • 2
  1. 1.School of Information, Computer and Communication Technology, Sirindhorn International Institute of TechnologyThammasat UniversityBangkokThailand
  2. 2.National Electronics and Computer Technology CenterNSTDApathum thaniThailand

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