Paper Info
Title
Ectopic Beats In Approximate Entropy And Sample Entropy-Based Hrv Assessment
Abstract
Approximate entropy (ApEn) and sample entropy (SampEn) are the promising techniques for extracting complex characteristics of cardiovascular variability. Ectopic beats, originating from other than the normal site, are the artefacts contributing a serious limitation to heart rate variability (HRV) analysis. The approaches like deletion and interpolation are currently in use to eliminate the bias produced by ectopic beats. In this study, normal R-R interval time series of 10 healthy and 10 acute myocardial infarction (AMI) patients were analysed by inserting artificial ectopic beats. Then the effects of ectopic beats editing by deletion, degree-zero and degree-one interpolation on ApEn and SampEn have been assessed. Ectopic beats addition (even 2%) led to reduced complexity, resulting in decreased ApEn and SampEn of both healthy and AMI patient data. This reduction has been found to be dependent on level of ectopic beats. Editing of ectopic beats by interpolation degree-one method is found to be superior to other methods.
Year
DOI
Venue
2012
10.1080/00207721.2010.543478
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
Keywords
Field
DocType
HRV, ectopic beats, approximate entropy, sample entropy
Approximate entropy,Sample entropy,Control theory,Heart rate variability,Internal medicine,Interpolation,Cardiology,Statistics,Mathematics
Journal
Volume
Issue
ISSN
43
5
0020-7721
Citations 
PageRank 
References 
5
0.44
2
Authors
4
Name
Order
Citations
PageRank
Butta Singh183.58
Dilbag Singh26715.16
A. K. Jaryal350.44
K. K. Deepak451.12