Multiscale entropy profiling to estimate complexity of heart rate dynamics

Radhagayathri K. Udhayakumar, Chandan Karmakar, and Marimuthu Palaniswami
Phys. Rev. E 100, 012405 – Published 15 July 2019

Abstract

In the analysis of signal regularity from a physiological system such as the human heart, Approximate entropy (HA) and Sample entropy (HS) have been the most popular statistical tools used so far. While studying heart rate dynamics, it nevertheless becomes more important to extract information about complexities associated with the heart, rather than the regularity of signal patterns produced by it. A complex physiological system does not necessarily produce irregular signals and vice versa. In order to equip a regularity statistic to see through the respective system's level of complexity, the idea of multiscaling was introduced in HS estimation. Multiscaling ideally requires an input signal to be (a) long and (b) stationary. However, the longer the data is the less stationary it is. The requirement multiscaling places on its data length largely limits its accuracy. We propose a novel method of entropy profiling that makes multiscaling require very short signal segments, granting better prospects of signal stationarity and estimation accuracy. With entropy profiling, an efficient multiscale HS based analysis requires only 500-beat signals of atrial fibrillated data, as opposed to the earlier case that required at least 20 000 beats.

  • Figure
  • Figure
  • Figure
  • Figure
  • Figure
  • Figure
  • Figure
  • Received 3 March 2019

DOI:https://doi.org/10.1103/PhysRevE.100.012405

©2019 American Physical Society

Physics Subject Headings (PhySH)

Interdisciplinary Physics

Authors & Affiliations

Radhagayathri K. Udhayakumar1, Chandan Karmakar1,2, and Marimuthu Palaniswami1

  • 1Department of Electrical and Electronic Engineering, The University of Melbourne, Melbourne VIC 3010, Australia
  • 2School of Information Technology, Deakin University, Burwood VIC 3125, Australia

Article Text (Subscription Required)

Click to Expand

References (Subscription Required)

Click to Expand
Issue

Vol. 100, Iss. 1 — July 2019

Reuse & Permissions
Access Options
Author publication services for translation and copyediting assistance advertisement

Authorization Required


×
×

Images

×

Sign up to receive regular email alerts from Physical Review E

Log In

Cancel
×

Search


Article Lookup

Paste a citation or DOI

Enter a citation
×