Average Entropy: Measurement of disorder for cardiac RR interval signals

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

*Corresponding author for this work

Research output: Contribution to journalArticle

4 Scopus citations

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.

Original languageEnglish
Article number121533
JournalPhysica A: Statistical Mechanics and its Applications
Volume529
DOIs
StatePublished - 1 Sep 2019

Keywords

  • Biological complexity
  • Biological disorder
  • Heart rate variability
  • Inverted U curve
  • RR interval
  • Shannon entropy

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