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Non-Linear Feature Extraction for Heart Rate Variability: An Overview

by Kapil Tajane, Rahul Pitale, Jayant Umale
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 89 - Number 10
Year of Publication: 2014
Authors: Kapil Tajane, Rahul Pitale, Jayant Umale
10.5120/15667-4068

Kapil Tajane, Rahul Pitale, Jayant Umale . Non-Linear Feature Extraction for Heart Rate Variability: An Overview. International Journal of Computer Applications. 89, 10 ( March 2014), 17-19. DOI=10.5120/15667-4068

@article{ 10.5120/15667-4068,
author = { Kapil Tajane, Rahul Pitale, Jayant Umale },
title = { Non-Linear Feature Extraction for Heart Rate Variability: An Overview },
journal = { International Journal of Computer Applications },
issue_date = { March 2014 },
volume = { 89 },
number = { 10 },
month = { March },
year = { 2014 },
issn = { 0975-8887 },
pages = { 17-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume89/number10/15667-4068/ },
doi = { 10.5120/15667-4068 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:08:52.579698+05:30
%A Kapil Tajane
%A Rahul Pitale
%A Jayant Umale
%T Non-Linear Feature Extraction for Heart Rate Variability: An Overview
%J International Journal of Computer Applications
%@ 0975-8887
%V 89
%N 10
%P 17-19
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Extensive Research has been done to extracting non-linear features for Heart Rate Variability. Non-Linear Dynamics has many methods which will give better accuracy than linear methods. Human Heart Fluctuates in very complex manner HRV is mainly characterized by linear ,non-linear manner. Heart Beat Signal are chaotic in nature which are very complex which is impossible to predict. To extract non-linear patterns from HRV data is very challenging task as compare to the linear pattern. In this paper we presents a brief survey about some important methods which are useful to extract non-linear features such as Phase Space Reconstruction, Lyapunov Exponent, Fractal Dimensions, Recurrence Quantification Analysis.

References
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Index Terms

Computer Science
Information Sciences

Keywords

HRV ECG Non-Linear Dynamics Phase Space Lyapunov Recurrence Plot. .

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