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Reseach Article

Performance Evaluation of Boosting Techniques for Cardiac Arrhythmia Prediction

by V. S. R. Kumari, P. Rajesh Kumar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 57 - Number 17
Year of Publication: 2012
Authors: V. S. R. Kumari, P. Rajesh Kumar
10.5120/9206-3740

V. S. R. Kumari, P. Rajesh Kumar . Performance Evaluation of Boosting Techniques for Cardiac Arrhythmia Prediction. International Journal of Computer Applications. 57, 17 ( November 2012), 18-22. DOI=10.5120/9206-3740

@article{ 10.5120/9206-3740,
author = { V. S. R. Kumari, P. Rajesh Kumar },
title = { Performance Evaluation of Boosting Techniques for Cardiac Arrhythmia Prediction },
journal = { International Journal of Computer Applications },
issue_date = { November 2012 },
volume = { 57 },
number = { 17 },
month = { November },
year = { 2012 },
issn = { 0975-8887 },
pages = { 18-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume57/number17/9206-3740/ },
doi = { 10.5120/9206-3740 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:00:43.008624+05:30
%A V. S. R. Kumari
%A P. Rajesh Kumar
%T Performance Evaluation of Boosting Techniques for Cardiac Arrhythmia Prediction
%J International Journal of Computer Applications
%@ 0975-8887
%V 57
%N 17
%P 18-22
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cardiac Arrhythmia is assessed using Electrocardiogram (ECG). Different types of arrhythmia are determined by accurate detection of beats leading to diagnosis of heart disease. Visual inspection of ECG for arrhythmia is tedious and time consuming process. With the advent of image processing techniques, automatic assessment of arrhythmia is widely studied. Various algorithms were developed for detection and classification of ECG signals. This paper investigates ECG classification method for arrhythmic beat classification based on RR interval. The methodology is based on extraction of RR interval of the beat using Symlet on ECG data. The extracted RR data are used as feature for classification. The beats are classified using boosting algorithm. MIT-BIH arrhythmia database was used for evaluating the classification efficiency.

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Index Terms

Computer Science
Information Sciences

Keywords

Electrocardiogram (ECG) Arrhythmia classification MIT-BIH ECG data RR interval Symlet Boosting