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    block this user Pandelis Perakakis

    Post Doctorate

    Economics department, Universitet Jaume I, Castellon

    Breathing frequency bias in fractal analysis of heart rate variability

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    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: 0.1Hz, 0.2Hz and 0.25Hz. 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 0.1Hz to 0.2Hz. These findings raise important methodological questions regarding the application of fractal measures to short-term HRV.

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    Description

    Title : Breathing frequency bias in fractal analysis of heart rate variability
    Author(s) : P Perakakis, M Taylor, E Martinez-Nieto, I Revithi, J Vila
    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: 0.1Hz, 0.2Hz and 0.25Hz. 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 0.1Hz to 0.2Hz. These findings raise important methodological questions regarding the application of fractal measures to short-term HRV.
    Subject : unspecified
    Area : Other
    Language : English
    Year : 2009

    Affiliations Economics department, Universitet Jaume I, Castellon
    Journal : Biol Psychol
    Volume : 82
    Issue : 1
    Pages : 82-88
    Url : http://www.ncbi.nlm.nih.gov/pubmed/19559748

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