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HRV Analysis of Arrhythmias Using Linear – Nonlinear Parameters

by Asha V. Thalange, Rohini R. Mergu
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 12
Year of Publication: 2010
Authors: Asha V. Thalange, Rohini R. Mergu
10.5120/255-412

Asha V. Thalange, Rohini R. Mergu . HRV Analysis of Arrhythmias Using Linear – Nonlinear Parameters. International Journal of Computer Applications. 1, 12 ( February 2010), 71-76. DOI=10.5120/255-412

@article{ 10.5120/255-412,
author = { Asha V. Thalange, Rohini R. Mergu },
title = { HRV Analysis of Arrhythmias Using Linear – Nonlinear Parameters },
journal = { International Journal of Computer Applications },
issue_date = { February 2010 },
volume = { 1 },
number = { 12 },
month = { February },
year = { 2010 },
issn = { 0975-8887 },
pages = { 71-76 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume1/number12/255-412/ },
doi = { 10.5120/255-412 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:46:17.697283+05:30
%A Asha V. Thalange
%A Rohini R. Mergu
%T HRV Analysis of Arrhythmias Using Linear – Nonlinear Parameters
%J International Journal of Computer Applications
%@ 0975-8887
%V 1
%N 12
%P 71-76
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Heart rate variability (HRV) refers to the beat-to-beat alterations in heart rate. HRV analysis is based on the concept that, fast fluctuations reflect the changes of sympathetic and vagal activity which results in variability of intervals between R waves i.e. "RR intervals". In the current work HRV was assessed by traditional linear time and frequency-domain indexes, in parallel with the non linear Poincare plot analysis.

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Index Terms

Computer Science
Information Sciences

Keywords

Coefficient of variance Heart Rate Time Series (HRTS) Heart Rate Variability (HRV) Poincare plot Power Spectral Density (PSD) Standard deviation

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