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Arrhythmia Detection Technique using basic ECG Parameters

by Mohammad Rakibul Islam, Rifad Hossain, Md. Ziaul Haque Bhuiyan, Tahmeed Ahmed Margoob, Md. Taslim Reza, Kazi Khairul Islam
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 119 - Number 10
Year of Publication: 2015
Authors: Mohammad Rakibul Islam, Rifad Hossain, Md. Ziaul Haque Bhuiyan, Tahmeed Ahmed Margoob, Md. Taslim Reza, Kazi Khairul Islam
10.5120/21102-3819

Mohammad Rakibul Islam, Rifad Hossain, Md. Ziaul Haque Bhuiyan, Tahmeed Ahmed Margoob, Md. Taslim Reza, Kazi Khairul Islam . Arrhythmia Detection Technique using basic ECG Parameters. International Journal of Computer Applications. 119, 10 ( June 2015), 11-15. DOI=10.5120/21102-3819

@article{ 10.5120/21102-3819,
author = { Mohammad Rakibul Islam, Rifad Hossain, Md. Ziaul Haque Bhuiyan, Tahmeed Ahmed Margoob, Md. Taslim Reza, Kazi Khairul Islam },
title = { Arrhythmia Detection Technique using basic ECG Parameters },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 119 },
number = { 10 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 11-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume119/number10/21102-3819/ },
doi = { 10.5120/21102-3819 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:03:40.457878+05:30
%A Mohammad Rakibul Islam
%A Rifad Hossain
%A Md. Ziaul Haque Bhuiyan
%A Tahmeed Ahmed Margoob
%A Md. Taslim Reza
%A Kazi Khairul Islam
%T Arrhythmia Detection Technique using basic ECG Parameters
%J International Journal of Computer Applications
%@ 0975-8887
%V 119
%N 10
%P 11-15
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A condition in which the heart beats with an irregular or abnormal rhythm is known as Arrhythmia. This paper presents a procedure to extract information from Electrocardiogram (ECG) data & determine types of Arrhythmias. The decisions were achieved by determining different intervals such as PR Interval, RR Interval, Heart Rate (HR) etc. and those intervals were compared with the ideal intervals. During the whole process MATLAB was used & ECG signals were taken from PhysioBank ATM. In this process Savitzky–Golay filter was used to reduce the noise of the signal. Tachycardia, Bradycardia, Heart Block, Junctional Arrhythmia, Premature Articular Contraction were detected during this analysis. The results show simplified detection of arrhythmia with 90%accuracy.

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Index Terms

Computer Science
Information Sciences

Keywords

Electrocardiogram Arrhythmia PR Interval RR Interval Heart Rate.

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