Literature DB >> 12122157

Physiological basis of fractal complexity properties of heart rate variability in man.

Darrel P Francis1, Keith Willson, Panagiota Georgiadou, Roland Wensel, L Ceri Davies, Andrew Coats, Massimo Piepoli.   

Abstract

The diagnostic and prognostic power of the fractal complexity measure 'alpha' of detrended fluctuation analysis (DFA) has remained mysterious because there has been no explanation of its meaning, particularly in relation to spectral analysis. First, we present a mathematical analysis of the meaning of alpha, in weighted power-spectral terms. Second, we test this hypothesis and observe correlations between DFA-based and weighted spectral methods of 0.97 (P < 0.0001) for alpha1 and 0.98 (P < 0.0001) for alpha2. Third, we predict mathematically that even in conventional (unweighted) spectral analysis there should be approximate counterparts to DFA, namely that alpha1 and alpha2 behave broadly in proportion to the conventional (unweighted) ratios LF/(HF + LF) and VLF/(LF + VLF), respectively, where HF is high frequency, LF is low frequency and VLF is very low frequency. Fourth, we test this hypothesis by physiologically manipulating spectral ratios in healthy volunteers in two ways. The effect of 0.1 Hz controlled breathing on LF/(HF + LF) correlates markedly with the effect on alpha1 (r = 0.73, P = 0.01); the effect on VLF/(LF + VLF) correlates markedly with that on alpha2 (r = 0.76, P < 0.01). Likewise, with voluntary periodic breathing the reduction in alpha2 correlates strongly with that in VLF/(LF + VLF) (r = 0.88, P < 0.001); effects on alpha1 and LF/(HF + LF) again clearly correlate (r = 0.73, P = 0.01). Finally, we examine published literature to identify previously undiscussed evidence of the relationship between alpha1 and LF/(HF + LF). We conclude that the alpha1 and alpha2 indices are simply frequency-weighted versions of the spectral ratios LF/(HF + LF) and VLF/(LF + VLF), respectively, multiplied by two (giving a range of 0-2). We can now understand fractal manifestations of physiological abnormalities: depressed baroreflex sensitivity low LF/HF low LF/(HF + LF) low alpha1, while periodic breathing high VLF/LF high VLF/(LF + VLF) high alpha2. Prognostic associations of alpha are no longer mysterious.

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Year:  2002        PMID: 12122157      PMCID: PMC2290419          DOI: 10.1113/jphysiol.2001.013389

Source DB:  PubMed          Journal:  J Physiol        ISSN: 0022-3751            Impact factor:   5.182


  13 in total

1.  Comparability of nonlinear measures of heart rate variability between long- and short-term electrocardiographic recordings.

Authors:  J S Perkiömäki; W Zareba; V G Kalaria; J Couderc; H V Huikuri; A J Moss
Journal:  Am J Cardiol       Date:  2001-04-01       Impact factor: 2.778

2.  Relationship between detrended fluctuation analysis and spectral analysis of heart-rate variability.

Authors:  Keith Willson; Darrel P Francis; Roland Wensel; Andrew J S Coats; Kim H Parker
Journal:  Physiol Meas       Date:  2002-05       Impact factor: 2.833

Review 3.  Cardiovascular neural regulation explored in the frequency domain.

Authors:  A Malliani; M Pagani; F Lombardi; S Cerutti
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4.  Baroreflex sensitivity and heart rate variability in the identification of patients at risk for life-threatening arrhythmias: implications for clinical trials.

Authors:  M T La Rovere; G D Pinna; S H Hohnloser; F I Marcus; A Mortara; R Nohara; J T Bigger; A J Camm; P J Schwartz
Journal:  Circulation       Date:  2001-04-24       Impact factor: 29.690

5.  Fractal correlation properties of R-R interval dynamics and mortality in patients with depressed left ventricular function after an acute myocardial infarction.

Authors:  H V Huikuri; T H Mäkikallio; C K Peng; A L Goldberger; U Hintze; M Møller
Journal:  Circulation       Date:  2000 Jan 4-11       Impact factor: 29.690

6.  Baroreflex sensitivity and heart-rate variability in prediction of total cardiac mortality after myocardial infarction. ATRAMI (Autonomic Tone and Reflexes After Myocardial Infarction) Investigators.

Authors:  M T La Rovere; J T Bigger; F I Marcus; A Mortara; P J Schwartz
Journal:  Lancet       Date:  1998-02-14       Impact factor: 79.321

7.  Reproducibility of methods for assessing baroreflex sensitivity in normal controls and in patients with chronic heart failure.

Authors:  L C Davies; D Francis; P Jurák; T Kára; M Piepoli; A J Coats
Journal:  Clin Sci (Lond)       Date:  1999-10       Impact factor: 6.124

8.  Abnormal awake respiratory patterns are common in chronic heart failure and may prevent evaluation of autonomic tone by measures of heart rate variability.

Authors:  A Mortara; P Sleight; G D Pinna; R Maestri; A Prpa; M T La Rovere; F Cobelli; L Tavazzi
Journal:  Circulation       Date:  1997-07-01       Impact factor: 29.690

9.  Predicting survival in heart failure case and control subjects by use of fully automated methods for deriving nonlinear and conventional indices of heart rate dynamics.

Authors:  K K Ho; G B Moody; C K Peng; J E Mietus; M G Larson; D Levy; A L Goldberger
Journal:  Circulation       Date:  1997-08-05       Impact factor: 29.690

10.  Power spectral analysis of heart rate and arterial pressure variabilities as a marker of sympatho-vagal interaction in man and conscious dog.

Authors:  M Pagani; F Lombardi; S Guzzetti; O Rimoldi; R Furlan; P Pizzinelli; G Sandrone; G Malfatto; S Dell'Orto; E Piccaluga
Journal:  Circ Res       Date:  1986-08       Impact factor: 17.367

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  16 in total

1.  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

2.  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

3.  Interaction between step-to-step variability and metabolic cost of transport during human walking.

Authors:  Chase G Rock; Vivien Marmelat; Jennifer M Yentes; Ka-Chun Siu; Kota Z Takahashi
Journal:  J Exp Biol       Date:  2018-11-12       Impact factor: 3.312

4.  Scaling exponent values as an ordinary function of the ratio of very low frequency to high frequency powers in heart rate variability over various sleep stages.

Authors:  Ren-Jing Huang; Ching-Hsiang Lai; Shin-Da Lee; Wei-Che Wang; Ling-Hui Tseng; Yu-Pin Chen; Shen-Wen Chang; Ai-Hui Chung; Hua Ting
Journal:  Sleep Breath       Date:  2016-04-02       Impact factor: 2.816

5.  Initial fractal exponent of heart rate variability is associated with success of early resuscitation in patients with severe sepsis or septic shock: a prospective cohort study.

Authors:  Samuel M Brown; Quinn Tate; Jason P Jones; Daniel B Knox; Kathryn G Kuttler; Michael Lanspa; Matthew T Rondina; Colin K Grissom; Subhasis Behera; V J Mathews; Alan Morris
Journal:  J Crit Care       Date:  2013-08-17       Impact factor: 3.425

6.  Sensitivity to mental effort and test-retest reliability of heart rate variability measures in healthy seniors.

Authors:  Shalini Mukherjee; Rajeev Yadav; Iris Yung; Daniel P Zajdel; Barry S Oken
Journal:  Clin Neurophysiol       Date:  2011-04-02       Impact factor: 3.708

7.  SCD-HeFT: Use of R-R interval statistics for long-term risk stratification for arrhythmic sudden cardiac death.

Authors:  Wan-Tai M Au-Yeung; Per G Reinhall; Jeanne E Poole; Jill Anderson; George Johnson; Ross D Fletcher; Hans J Moore; Daniel B Mark; Kerry L Lee; Gust H Bardy
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8.  ECG and Heart Rate Variability in Sleep-Related Breathing Disorders.

Authors:  Hua Qin; Fernando Vaquerizo-Villar; Nicolas Steenbergen; Jan F Kraemer; Thomas Penzel
Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 3.650

9.  Coefficient of Variation of Coarsely Sampled Heart Rate is Associated With Early Vasopressor Independence in Severe Sepsis and Septic Shock.

Authors:  Samuel M Brown; M Quinn Tate; Jason P Jones; Kathryn G Kuttler; Michael J Lanspa; Matthew T Rondina; Colin K Grissom; V J Mathews
Journal:  J Intensive Care Med       Date:  2014-02-26       Impact factor: 3.510

Review 10.  The fractal heart - embracing mathematics in the cardiology clinic.

Authors:  Gabriella Captur; Audrey L Karperien; Alun D Hughes; Darrel P Francis; James C Moon
Journal:  Nat Rev Cardiol       Date:  2016-10-06       Impact factor: 32.419

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