Multifractal analysis of heart rate variability and laser Doppler flowmetry fluctuations:comparison of results from

Anne Humeau1, Benjamin Buard, Guillaume Mahé

  • 1Laboratoire d'Ingénierie des Systèmes Automatisés, Université d'Angers, 62 avenue Notre Dame du Lac, 49000 Angers, France. anne.humeau@univ-angers.fr

Insights

This study reveals similar multifractal properties in both central and peripheral cardiovascular system (CVS) signals. Analyzing heart rate variability (HRV) and laser Doppler flowmetry (LDF) provides new insights into cardiovascular biophysics.

Area of Science:

  • Cardiovascular Biophysics
  • Nonlinear Dynamics
  • Physiological Signal Analysis

Background:

  • Multifractal analysis has advanced understanding of the central cardiovascular system (CVS) via heart rate variability (HRV).
  • Applying similar multifractal approaches to the peripheral CVS using laser Doppler flowmetry (LDF) signals is a recent development.

Purpose of the Study:

  • To investigate the peripheral CVS using multifractal analysis of LDF fluctuations.
  • To compare multifractal analysis results from LDF signals with simultaneously recorded HRV signals.
  • To evaluate and select appropriate multifractal analysis methodologies for biophysical signals.

Main Methods:

  • Tested four distinct methodologies for multifractal analysis.
  • Applied multifractal analysis to simulated reference signals and experimental cardiovascular signals (LDF and HRV).
  • Compared the applicability and interpretability of different multifractal analysis techniques.

Main Results:

  • Identified and compared multifractal properties of peripheral (LDF) and central (HRV) cardiovascular signals.
  • Observed remarkably similar multifractal characteristics between LDF and HRV fluctuations across relevant physiological scales.
  • Determined the suitability of tested multifractal analysis methods for cardiovascular signal interpretation.

Conclusions:

  • Multifractal analysis is a viable tool for characterizing the complex dynamics of both central and peripheral CVS.
  • The similar multifractal properties suggest interconnected dynamics between the central and peripheral cardiovascular systems.
  • This study provides a foundation for selecting robust multifractal analysis methods for physiological signal investigation.