Data from: Breathing frequency bias in fractal analysis of heart rate variability

Pandelis Perakakis, Michael Taylor, Eduardo Martinez-Nieto, Ioanna Revithi & Jaime Vila
Detrended Fluctuation Analysis (DFA) is an algorithm widely used to determine fractal long-range correlations in physiological signals. Its application to heart rate variability (HRV) has proven useful in distinguishing healthy subjects from patients with cardiovascular disease. In this study we examined the effect of respiratory sinus arrhythmia (RSA) on the performance of DFA applied to HRV. Predictions based on a mathematical model were compared with those obtained from a sample of 14 normal subjects at...

Registration Year

  • 2013

Resource Types

  • Dataset


  • National Observatory of Athens
  • University of Granada