Literature DB >> 7905719

On the fractal nature of heart rate variability in humans: effects of data length and beta-adrenergic blockade.

Y Yamamoto1, R L Hughson.   

Abstract

In the present study, we reinvestigated the question of whether human heart rate variability (HRV) is fractal in nature. Ten healthy volunteers participated in either of two studies conducted while beat-by-beat long-term HRV (8,500 heartbeats) was recorded for 2-3 h in the quiet, awake state in the supine position. In the first study, five subjects were tested four times each to evaluate the basic fractal nature of human HRV. The other five subjects were examined for the effects of oral propranolol (2 x 80 mg/day) on the fractal property of HRV in the second study. HRV data were analyzed by coarse-graining spectral analysis to break down their total power into harmonic and nonharmonic (fractal) components. The harmonic component was further divided into low (0.0-0.15 Hz; LF)- and high (> 0.15 Hz; HF)-frequency components. From these spectral components, %Fractal, %LF, and %HF as functions of total power were calculated. The fractal component was used to calculate the spectral exponent, beta. The %Fractal of human resting HRV was 85.5 +/- 4.4% (mean +/- SD, n = 20). The beta for the fractal HRV was 1.08 +/- 0.18 (n = 20). With propranolol, these basic properties of fractal HRV dynamics remained unchanged despite an increase in the mean RR interval (placebo, 912 +/- 111 ms; propranolol, 1,134 +/- 133 ms, P < 0.05) and a change in the harmonic spectral shape evaluated by LF/HF (placebo, 2.76 +/- 1.57; propranolol, 1.82 +/- 0.81, P < 0.05). For short-term data, less power was extracted as fractal because of the absence of the very low frequency component, yet the beta and LF/HF were unchanged from long-term data. These findings indicate that 1) the observed inversely proportional frequency (1/f) spectrum in human resting HRV is due to underlying random fractal dynamics and 2) the sympathetic nervous system seemed to play a minor role in modulating the fractal HRV dynamics.

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Year:  1994        PMID: 7905719     DOI: 10.1152/ajpregu.1994.266.1.R40

Source DB:  PubMed          Journal:  Am J Physiol        ISSN: 0002-9513


  32 in total

1.  Fractal dynamics in physiology: alterations with disease and aging.

Authors:  Ary L Goldberger; Luis A N Amaral; Jeffrey M Hausdorff; Plamen Ch Ivanov; C-K Peng; H Eugene Stanley
Journal:  Proc Natl Acad Sci U S A       Date:  2002-02-19       Impact factor: 11.205

2.  Short- and long-term effects of a single bout of exercise on heart rate variability: comparison between constant and interval training exercises.

Authors:  Laurent Mourot; Malika Bouhaddi; Nicolas Tordi; Jean-Denis Rouillon; Jacques Regnard
Journal:  Eur J Appl Physiol       Date:  2004-08       Impact factor: 3.078

3.  Scale exponents of blood pressure and heart rate during autonomic blockade as assessed by detrended fluctuation analysis.

Authors:  Paolo Castiglioni; Gianfranco Parati; Marco Di Rienzo; Roberta Carabalona; Andrei Cividjian; Luc Quintin
Journal:  J Physiol       Date:  2010-11-29       Impact factor: 5.182

4.  Nonlinear additive autoregressive model-based analysis of short-term heart rate variability.

Authors:  Niels Wessel; Hagen Malberg; Robert Bauernschmitt; Alexander Schirdewan; Jürgen Kurths
Journal:  Med Biol Eng Comput       Date:  2006-03-29       Impact factor: 2.602

5.  Fatigue reduces the complexity of knee extensor torque fluctuations during maximal and submaximal intermittent isometric contractions in man.

Authors:  Jamie Pethick; Samantha L Winter; Mark Burnley
Journal:  J Physiol       Date:  2015-02-09       Impact factor: 5.182

6.  Seidel-Herzel model of human baroreflex in cardiorespiratory system with stochastic delays.

Authors:  Aleksandra Dudkowska; Danuta Makowiec
Journal:  J Math Biol       Date:  2007-12-08       Impact factor: 2.259

7.  Applying fractal analysis to short sets of heart rate variability data.

Authors:  M A Peña; J C Echeverría; M T García; R González-Camarena
Journal:  Med Biol Eng Comput       Date:  2009-01-29       Impact factor: 2.602

8.  Fractal properties of human heart period variability: physiological and methodological implications.

Authors:  Can Ozan Tan; Michael A Cohen; Dwain L Eckberg; J Andrew Taylor
Journal:  J Physiol       Date:  2009-06-15       Impact factor: 5.182

Review 9.  Autonomic regulation of the circulation during exercise and heat exposure. Inferences from heart rate variability.

Authors:  I K Brenner; S Thomas; R J Shephard
Journal:  Sports Med       Date:  1998-08       Impact factor: 11.136

10.  Nonlinear and Stochastic Dynamics in the Heart.

Authors:  Zhilin Qu; Gang Hu; Alan Garfinkel; James N Weiss
Journal:  Phys Rep       Date:  2014-10-10       Impact factor: 25.600

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