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Entropy 2015, 17(3), 1425-1440; doi:10.3390/e17031425

A Comparison of Nonlinear Measures for the Detection of Cardiac Autonomic Neuropathy from Heart Rate Variability

1
Applied Informatics Research Group, Faculty of Science and IT, University of Newcastle, Newcastle, NSW 2308, Australia
2
School of Engineering and Information Technology, University of New South Wales, Australian Defence Force Academy, Canberra, ACT 2610, Australia
3
Centre for Research in Complex Systems, School of Community Health, Charles Sturt University, Albury, NSW 2640, Australia
4
Australian School of Advanced Medicine, Macquarie University, Sydney, NSW 2109, Australia
5
University of Eastern Finland, Kuopio 70210, Finland
6
Kuopio University Hospital, Kuopio 70210, Finland
*
Author to whom correspondence should be addressed.
Academic Editor: Niels Wessel
Received: 27 October 2014 / Revised: 9 March 2015 / Accepted: 16 March 2015 / Published: 19 March 2015
(This article belongs to the Special Issue Entropy and Cardiac Physics)
View Full-Text   |   Download PDF [816 KB, uploaded 19 March 2015]   |  

Abstract

In this work we compare three multiscale measures for their ability to discriminate between participants having cardiac autonomic neuropathy (CAN) and aged controls. CAN is a disease that involves nerve damage leading to an abnormal control of heart rate, so one would expect disease progression to manifest in changes to heart rate variability (HRV). We applied multiscale entropy (MSE), multi fractal detrended fluctuation analysis (MFDFA), and Renyi entropy (RE) to recorded datasets of RR intervals. The latter measure provided the best separation (lowest p-value in Mann–Whitney tests) between classes of participants having CAN, early CAN or no CAN (controls). This comparison suggests the efficacy of RE as a measure for diagnosis of CAN and its progression, when compared to the other multiscale measures. View Full-Text
Keywords: multiscale entropy; multi fractal detrended fluctuation analysis; Renyi entropy; heart rate variability; cardiac autonomic neuropathy; disease discrimination multiscale entropy; multi fractal detrended fluctuation analysis; Renyi entropy; heart rate variability; cardiac autonomic neuropathy; disease discrimination
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Cornforth, D.; Jelinek, H.F.; Tarvainen, M. A Comparison of Nonlinear Measures for the Detection of Cardiac Autonomic Neuropathy from Heart Rate Variability. Entropy 2015, 17, 1425-1440.

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