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Phase Synchronization and Coherence Analysis between ECG & Arterial Blood Pressure

by Nikhil Pachauri, Dipak Kumar Mishra
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 44 - Number 18
Year of Publication: 2012
Authors: Nikhil Pachauri, Dipak Kumar Mishra
10.5120/6364-8701

Nikhil Pachauri, Dipak Kumar Mishra . Phase Synchronization and Coherence Analysis between ECG & Arterial Blood Pressure. International Journal of Computer Applications. 44, 18 ( April 2012), 27-30. DOI=10.5120/6364-8701

@article{ 10.5120/6364-8701,
author = { Nikhil Pachauri, Dipak Kumar Mishra },
title = { Phase Synchronization and Coherence Analysis between ECG & Arterial Blood Pressure },
journal = { International Journal of Computer Applications },
issue_date = { April 2012 },
volume = { 44 },
number = { 18 },
month = { April },
year = { 2012 },
issn = { 0975-8887 },
pages = { 27-30 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume44/number18/6364-8701/ },
doi = { 10.5120/6364-8701 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:35:53.293148+05:30
%A Nikhil Pachauri
%A Dipak Kumar Mishra
%T Phase Synchronization and Coherence Analysis between ECG & Arterial Blood Pressure
%J International Journal of Computer Applications
%@ 0975-8887
%V 44
%N 18
%P 27-30
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Phase synchronization is an important phenomenon of nonlinear dynamics and has recently received much scientific attention. Phase synchronization is a type of synchronization reflecting mutual adjustment of rhythms of self-sustained oscillatory systems. Time-varying phase synchrony is an important bivariate measure that quantifies the dynamics between non-stationary signals and has been widely used in many applications including chaotic oscillators in physics and multichannel electroencephalography recordings in neuroscience. In this paper we investigate that phase synchronization between electrocardiogram and arterial blood pressure was used in order to find the interaction between these two signals. With the help of coherence phase we are able to tell which signal is lagging and which signal is leading.

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Index Terms

Computer Science
Information Sciences

Keywords

Biomedical Engineering Phase Synchronization Coherence

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