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Applications of complexity analysis in clinical heart failure

Lookup NU author(s): Professor Alan Murray

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Abstract

© 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.


Publication metadata

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


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