SVM Classification Algorithm in ECG Classification

  • Yanwei Zhu
Part of the Communications in Computer and Information Science book series (CCIS, volume 308)

Abstract

Support Vector Machine classification was studied by this article. Kernel function was used on Electrocardiogram (ECG) classification. Classification results show that the support vector machine classification algorithm reduce the complexity of the classification algorithm, and to ensure that the ECG classification accuracy, while the feasibility and effectiveness of the classification of ideas in the ECG classification.

Keywords

Support Vector Machine (SVM) Kernel function Classification Electrocardiogram 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Yanwei Zhu
    • 1
  1. 1.Department of Mathematics and Information ScienceTangshan Normal UniversityTangshanChina

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