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Comparison of Power Spectral Density (PSD) of Normal and Abnormal ECGs

Published on None 2011 by Shreya Das, Dr. Monisha Chakraborty
journal_cover_thumbnail

2nd National Conference on Computing, Communication and Sensor Network
Foundation of Computer Science USA
CCSN - Number 2
None 2011
Authors: Shreya Das, Dr. Monisha Chakraborty
ecc98111-3634-4863-8735-a50b60d455c1

Shreya Das, Dr. Monisha Chakraborty . Comparison of Power Spectral Density (PSD) of Normal and Abnormal ECGs. 2nd National Conference on Computing, Communication and Sensor Network. CCSN, 2 (None 2011), 10-14.

@article{
author = { Shreya Das, Dr. Monisha Chakraborty },
title = { Comparison of Power Spectral Density (PSD) of Normal and Abnormal ECGs },
journal = { 2nd National Conference on Computing, Communication and Sensor Network },
issue_date = { None 2011 },
volume = { CCSN },
number = { 2 },
month = { None },
year = { 2011 },
issn = 0975-8887,
pages = { 10-14 },
numpages = 5,
url = { /specialissues/ccsn/number2/4173-ccsn011/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 2nd National Conference on Computing, Communication and Sensor Network
%A Shreya Das
%A Dr. Monisha Chakraborty
%T Comparison of Power Spectral Density (PSD) of Normal and Abnormal ECGs
%J 2nd National Conference on Computing, Communication and Sensor Network
%@ 0975-8887
%V CCSN
%N 2
%P 10-14
%D 2011
%I International Journal of Computer Applications
Abstract

Periodogram is a graph showing the power spectrum density (PSD) of a signal, having power by frequency (dB/Hz) in y-axis and frequency (Hz) in x-axis. In other words it shows the corresponding power of the frequency components of the signal. Abnormalities in electrocardiograms (ECGs) show different frequency components in their power spectrum density. In this paper power spectrum density of the QRS complexes has been obtained from normal as well as diseased ECGs to compare the differences between their frequency components. QRS complexes are chosen because it shows distinct differences for different heart diseases. This process can be an effective way to identify abnormalities in ECGs.

References
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Index Terms

Computer Science
Information Sciences

Keywords

periodogram power spectrum density electrocardiograms QRS complexes