Fractal fluctuations in cardiac time series

B. J. West, R. Zhang, A. W. Sanders, S. Miniyar, J. H. Zuckerman, B. D. Levine

Research output: Contribution to journalArticle

29 Scopus citations

Abstract

Human heart rate, controlled by complex feedback mechanisms, is a vital index of systematic circulation. However, it has been shown that beat-to-beat values of heart rate fluctuate continually over a wide range of time scales. Herein we use the relative dispersion, the ratio of the standard deviation to the mean, to show, by systematically aggregating the data, that the correlation in the beat-to-beat cardiac time series is a modulated inverse power law. This scaling property indicates the existence of long-time memory in the underlying cardiac control process and supports the conclusion that heart rate variability is a temporal fractal. We argue that the cardiac control system has allometric properties that enable it to respond to a dynamical environment through scaling.

Original languageEnglish (US)
Pages (from-to)552-566
Number of pages15
JournalPhysica A: Statistical Mechanics and its Applications
Volume270
Issue number3
DOIs
StatePublished - Aug 15 1999

    Fingerprint

ASJC Scopus subject areas

  • Statistics and Probability
  • Condensed Matter Physics

Cite this