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Lookup NU author(s): Emeritus Professor Alan MurrayORCiD
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© 2017, Springer International Publishing AG. Heart failure is known to influence heart rhythm in patients. Complexity analysis techniques, including techniques associated with entropy, have great potential for providing a better understanding of cardiac rhythms, and for helping research in this area. We review the analysis principles of conventional time-domain analysis, frequency-domain analysis and of newer complexity analysis. We then illustrate the techniques using real clinical data, allowing a comparison of the techniques, and also of the differences between normal heart rate variability and that associated with heart failure.
Author(s): Liu C, Murray A
Editor(s): Riccardo Barbieri, Enzo Pasquale Scilingo, Gaetano Valenza
Publication type: Book Chapter
Publication status: Published
Book Title: Complexity and Nonlinearity in Cardiovascular Signals
Year: 2017
Pages: 301-325
Online publication date: 10/08/2017
Acceptance date: 02/04/2016
Publisher: Springer International Publishing
Place Published: Cham, Switzerland
URL: https://doi.org/10.1007/978-3-319-58709-7_11
DOI: 10.1007/978-3-319-58709-7_11
Library holdings: Search Newcastle University Library for this item
ISBN: 9783319587097
