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Real Time Analysis and Diagnosis of ECG Signal for Tachycardia Condition

Published on April 2012 by Pankaj K. Gakare, Abhilasha M. Patel, A. N. Cheeran
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Emerging Trends in Computer Science and Information Technology (ETCSIT2012)
Foundation of Computer Science USA
ETCSIT - Number 3
April 2012
Authors: Pankaj K. Gakare, Abhilasha M. Patel, A. N. Cheeran
e2b72df5-61a1-4729-84bf-fe7deca9da0a

Pankaj K. Gakare, Abhilasha M. Patel, A. N. Cheeran . Real Time Analysis and Diagnosis of ECG Signal for Tachycardia Condition. Emerging Trends in Computer Science and Information Technology (ETCSIT2012). ETCSIT, 3 (April 2012), 11-15.

@article{
author = { Pankaj K. Gakare, Abhilasha M. Patel, A. N. Cheeran },
title = { Real Time Analysis and Diagnosis of ECG Signal for Tachycardia Condition },
journal = { Emerging Trends in Computer Science and Information Technology (ETCSIT2012) },
issue_date = { April 2012 },
volume = { ETCSIT },
number = { 3 },
month = { April },
year = { 2012 },
issn = 0975-8887,
pages = { 11-15 },
numpages = 5,
url = { /proceedings/etcsit/number3/5976-1019/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 Emerging Trends in Computer Science and Information Technology (ETCSIT2012)
%A Pankaj K. Gakare
%A Abhilasha M. Patel
%A A. N. Cheeran
%T Real Time Analysis and Diagnosis of ECG Signal for Tachycardia Condition
%J Emerging Trends in Computer Science and Information Technology (ETCSIT2012)
%@ 0975-8887
%V ETCSIT
%N 3
%P 11-15
%D 2012
%I International Journal of Computer Applications
Abstract

With heart diseases, and associated complications, being one of the major causes of death around the world, and in spite of decreased mortality rate, detection of irregularities in the rhythms of the heart is a growing field in medical research. Extended patient monitoring during normal activity has become increasingly important as a standard preventive cardiological procedure for detection of cardiac conditions. This paper presents a development platform for portable real-time analysis of ECG signals which can be used as an advanced warning device, using android based mobile phone. This paper briefly discusses an ECG data capture unit, with an emphasis on the software for analyzing the ECG signals, and the algorithm of analyzing and detecting cardiac conditions for 'Tachycardia' type – the most common kind of cardiac abnormality.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Mhealth Ehealth Telemedicine Telemetry Android Smartphone Ecg