Breathing frequency bias in fractal analysis of heart rate variability

Perakakis, Pandelis, Taylor, Michael, Martinez-Nieto, Eduardo, Revithi, Ioanna and Vila, Jaime (2009) Breathing frequency bias in fractal analysis of heart rate variability. Biological Psychology, 82 (1). pp. 82-88. ISSN 0301-0511

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Abstract

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 three breathing frequencies: 0.1 Hz, 0.2 Hz and 0.25 Hz. Results revealed that: (1) the periodical properties of RSA produce a change of the correlation exponent in HRV at a scale corresponding to the respiratory period, (2) the short-term DFA exponent is significantly reduced when breathing frequency rises from 0.1 Hz to 0.2 Hz. These findings raise important methodological questions regarding the application of fractal measures to short-term HRV.

Item Type: Article
Uncontrolled Keywords: detrended fluctuation analysis,fractal correlations,heart rate variability,paced breathing,respiratory sinus arrhythmia,neuroscience(all),neuropsychology and physiological psychology,sdg 3 - good health and well-being ,/dk/atira/pure/subjectarea/asjc/2800
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Depositing User: LivePure Connector
Date Deposited: 06 Jul 2021 23:59
Last Modified: 10 Nov 2021 08:08
URI: https://ueaeprints.uea.ac.uk/id/eprint/80411
DOI: 10.1016/j.biopsycho.2009.06.004

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