Please use this identifier to cite or link to this item:
Scopus Web of Science® Altmetric
Type: Conference paper
Title: Compression based entropy estimation of heart rate variability on multiple time scales
Author: Baumert, M.
Voss, A.
Javorka, M.
Citation: Proceedings of the 35th Annual International Conference of the IEEE EMBS, 2013: pp.5037-5040
Publisher: IEEE
Publisher Place: USA
Issue Date: 2013
Series/Report no.: IEEE Engineering in Medicine and Biology Society Conference Proceedings
ISBN: 9781457702167
ISSN: 1557-170X
Conference Name: Annual International Conference of the IEEE Engineering in Medicine and Biology Society (35th : 2013 : Osaka, Japan)
Statement of
Mathias Baumert, Andreas Voss, Michal Javorka
Abstract: Heart rate fluctuates beat by beat in a complex manner. The aim of this study was to develop a framework for entropy assessment of heart rate fluctuations on multiple time scales. We employed the Lempel-Ziv algorithm for lossless data compression to investigate the compressibility of RR interval time series on different time scales, using a coarse-graining procedure. We estimated the entropy of RR interval time series of 20 young and 20 old subjects and also investigated the compressibility of randomly shuffled surrogate RR time series. The original RR time series displayed significantly smaller compression entropy values than randomized RR interval data. The RR interval time series of older subjects showed significantly different entropy characteristics over multiple time scales than those of younger subjects. In conclusion, data compression may be useful approach for multiscale entropy assessment of heart rate variability.
Keywords: Humans; Heart Rate; Algorithms; Entropy; Time Factors; Data Compression; Adult; Aged; Aged, 80 and over; Middle Aged; Young Adult
Rights: ©2013 IEEE
RMID: 0020130479
DOI: 10.1109/EMBC.2013.6610680
Description (link):
Appears in Collections:Electrical and Electronic Engineering publications

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.