CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

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
journal_cover_thumbnail

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
  1. J. Pan and W. J. Tompkins, "A real-time QRS detection algorithm," IEEE Trans. Biomed. Eng. , vol. BME-32, pp. 230-236, 1985.
  2. American Heart Association, "Heart Disease and Stroke Statistics", Dallas, Texas, 2005.
  3. C. Schamroth , An Introduction to Electro Cardiography, Blackwell Sci. Publishing, 7th edition, 2001.
  4. D. Dubin, and Rapid Interpretation of EKG's, Cover Pub Co; 6th edition, ISBN: 0912912065, 2000.
  5. C. K. B Ayang-ang, and L. G Sison, "Electrocardiograph Pre-Filtering, QRS Detection, and Palm Display Programming for Biomedical Applications," ECE Conference, University of St. Tomas, Manila, 2001.
  6. K Timothy, T. -C. Knilans, and L. S. R. Chou, Electrocardiography in Clinical Practice Adult and Pediatric, W B Saunders; 4th edition, 1996.
  7. http://www. physionet. org.
Index Terms

Computer Science
Information Sciences

Keywords

Mhealth Ehealth Telemedicine Telemetry Android Smartphone Ecg