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Arrhythmia Detection Technique using basic ECG Parameters

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International Journal of Computer Applications
© 2015 by IJCA Journal
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 and Kazi Khairul Islam. Article: Arrhythmia Detection Technique using basic ECG Parameters. International Journal of Computer Applications 119(10):11-15, June 2015. Full text available. BibTeX

@article{key:article,
	author = {Mohammad Rakibul Islam and Rifad Hossain and Md. Ziaul Haque Bhuiyan and Tahmeed Ahmed Margoob and Md. Taslim Reza and Kazi Khairul Islam},
	title = {Article: Arrhythmia Detection Technique using basic ECG Parameters},
	journal = {International Journal of Computer Applications},
	year = {2015},
	volume = {119},
	number = {10},
	pages = {11-15},
	month = {June},
	note = {Full text available}
}

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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