The long march: from monofractals to endogenous multifractality in heart rate variability analysis

Aydin A. Cecen, Cahit Erkal

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

The paper presents a methodological critique of the literature on heart rate variability in the context of nonlinear dynamics and time series analysis. The concomitant developments in nonlinear dynamic analysis and cardiology, together with the gradual shift from the monofractal approach to multifractality are evaluated. It is argued that despite its seminal contributions to the under-standing of heart rate variability, the literature has often been plagued by a lack of appropriate synthesis of nonlinear dynamics with time series statistics on the one hand, and the misinterpretation of time and frequency domain analyses on the other. Furthermore, several open questions for future research are identified.

Original languageEnglish
Pages (from-to)181-206
Number of pages26
JournalNonlinear Dynamics, Psychology, and Life Sciences
Volume13
Issue number2
StatePublished - Apr 2009

Keywords

  • Chaos
  • Electrocardiogram
  • Fractals
  • Long memory
  • Nonlinearity
  • Surrogate data analysis

Fingerprint

Dive into the research topics of 'The long march: from monofractals to endogenous multifractality in heart rate variability analysis'. Together they form a unique fingerprint.

Cite this