Average Entropy: Measurement of disorder for cardiac RR interval signals

Chang Francis Hsu, Ping-Yen Lin, Hsuan-Hao Chao, Long Hsu and Sien Chi

Physica A: Statistical Mechanics and its Applications, 2019, vol. 529, issue C

Abstract: We introduce average entropy (AE) as a disorder measure of heart rate time series. The AE measurement reflects both the probability distribution of all discrete values in a time series and the randomness of the series. The AE analysis is able to differentiate the congestive heart failure (CHF), the healthy, and the atrial fibrillation (AF) subjects for both short and long heart rate time series. The differentiation accuracy of AE is higher than 90%. In addition, since the meaning of “disorder” is easily confused with “complexity”, we explore the relation between them by analyzing heart rate time series. Specifically, we demonstrate that the complexity measured by entropy of entropy (EoE) versus the disorder measured by AE plot of heart rate time series exhibits a distinct inverted U relation.

Keywords: Heart rate variability; RR interval; Biological disorder; Biological complexity; Shannon entropy; Inverted U curve (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:529:y:2019:i:c:s0378437119308970

DOI: 10.1016/j.physa.2019.121533

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