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Heart Rate Variability Analysis and Pathological Detection

by Payal Patial, Kawaldeep Singh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 70 - Number 6
Year of Publication: 2013
Authors: Payal Patial, Kawaldeep Singh
10.5120/11970-7825

Payal Patial, Kawaldeep Singh . Heart Rate Variability Analysis and Pathological Detection. International Journal of Computer Applications. 70, 6 ( May 2013), 42-49. DOI=10.5120/11970-7825

@article{ 10.5120/11970-7825,
author = { Payal Patial, Kawaldeep Singh },
title = { Heart Rate Variability Analysis and Pathological Detection },
journal = { International Journal of Computer Applications },
issue_date = { May 2013 },
volume = { 70 },
number = { 6 },
month = { May },
year = { 2013 },
issn = { 0975-8887 },
pages = { 42-49 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume70/number6/11970-7825/ },
doi = { 10.5120/11970-7825 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:32:12.584376+05:30
%A Payal Patial
%A Kawaldeep Singh
%T Heart Rate Variability Analysis and Pathological Detection
%J International Journal of Computer Applications
%@ 0975-8887
%V 70
%N 6
%P 42-49
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In order to measure the mortality in the patients suffering from the heart disease we use the term HRV that i. e. Heart Rate Variability. Estimation methods as Parametric and Non-Parametric are used in the analysis of Heart Rate Variability but Heart Rate Variability requires the specific capabilities which are not provided by either of these. The term EMD i. e. Empirical Mode Decomposition adaptively estimates the IMF i. e. Intrinsic Mode Function of the nonlinear and nonstationary signal. The IMF obtained from the EMD is used for the analyses of the HRV latencies of Healthy subjects and of Congestive Heart Failure subjects. In this paper we have considered the 15 Congestive Heart Failure patients, 20 healthy young control patients and 20 healthy old control patients. After finding the IMF from EMD we have calculated the average periods, absolute power, normalised power and cumulative power and concerned plots are drawn for the comparison of the considered subjects. The results obtained shows that the HRV of healthy subjects rises rapidly to its maximum response as compared to the HRV of the pathological subjects. This fact can be used as a promising approach in clinical practise for the screening of specific risk group.

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Index Terms

Computer Science
Information Sciences

Keywords

Empirical Mode Decomposition Heart Rate Variability Average Period Absolute Power Normalised and Cumulative Power

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