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Open AccessArticle

Investigation of Linear and Nonlinear Properties of a Heartbeat Time Series Using Multiscale Rényi Entropy

1
Australian School of Advanced Medicine, Macquarie University, Sydney 2109, Australia
2
School of Community Health, Charles Sturt University, Albury 2640, Australia
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School of Design, Communication and IT, University of Newcastle, Newcastle 2308, Australia
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Department of Applied Physics, University of Eastern Finland, 70210 Kuopio, Finland
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Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, 70210 Kuopio, Finland
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Department of Biomedical Engineering, Khalifa University, Abu Dhabi 127788, UAE
*
Author to whom correspondence should be addressed.
Entropy 2019, 21(8), 727; https://doi.org/10.3390/e21080727
Received: 27 May 2019 / Revised: 19 July 2019 / Accepted: 20 July 2019 / Published: 25 July 2019
(This article belongs to the Special Issue Multiscale Entropy Approaches and Their Applications)
The time series of interbeat intervals of the heart reveals much information about disease and disease progression. An area of intense research has been associated with cardiac autonomic neuropathy (CAN). In this work we have investigated the value of additional information derived from the magnitude, sign and acceleration of the RR intervals. When quantified using an entropy measure, these time series show statistically significant differences between disease classes of Normal, Early CAN and Definite CAN. In addition, pathophysiological characteristics of heartbeat dynamics provide information not only on the change in the system using the first difference but also the magnitude and direction of the change measured by the second difference (acceleration) with respect to sequence length. These additional measures provide disease categories to be discriminated and could prove useful for non-invasive diagnosis and understanding changes in heart rhythm associated with CAN. View Full-Text
Keywords: heart rate variability; entropy; nonlinear dynamics; cardiac autonomic neuropathy; diabetes heart rate variability; entropy; nonlinear dynamics; cardiac autonomic neuropathy; diabetes
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MDPI and ACS Style

Jelinek, H.F.; Cornforth, D.J.; Tarvainen, M.P.; Khalaf, K. Investigation of Linear and Nonlinear Properties of a Heartbeat Time Series Using Multiscale Rényi Entropy. Entropy 2019, 21, 727.

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