Gender Classification from ECG Signal Analysis using Least Square Support Vector Machine

Abstract

In this present paper it deals with the Gender Classification from ECG signal using Least Square Support Vector Machine (LS-SVM) and Support Vector Machine (SVM) Techniques. The different features extracted from ECG signal using Heart Rate Variability (HRV) analysis are the input to the LS-SVM and SVM classifier and at the output the classifier, classifies… (More)

Topics

6 Figures and Tables

Slides referencing similar topics