Heart rate variability: are there complex patterns?

Common wisdom dictates that the variability in biological systems contributes to their adaptability in the face of uncertainty in the environment, and that it is only the lifeless that do not express at least some form of variability. In fact, rhythmic oscillations at various time-scales, ranging from minutes to days, are ubiquitous in biological systems (Rapp, 1987). Thus, in biological sciences, variability is usually regarded as a reflection of a fundamental aspect of the system, and has always attracted a great deal of scientific inquiry. The extent of this inquiry is perhaps best exemplified by the studies of heart rate variability.

• Publication year

  2013

• Venue

  Frontiers in Physiology

• Publication date

  2013-07-04

• Fields of study

  Biology, Medicine, Computer Science

• Identifiers
  DOI 10.3389/fphys.2013.00165PMID 23847544PMCID 3701329
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Generating signals with multiscale time irreversibility: The asymmetric weierstrass function

  2011cited by this paper
• Fractal properties of human heart period variability: physiological and methodological implications

  2009cited by this paper
• Multifractality and heart rate variability.

  2009cited by this paper
• Incongruous Changes in Heart Period and Heart Rate Variability with Vagotonic Atropine: Implications for Rehabilitation Medicine

  2009cited by this paper
• Fractal scaling properties of heart rate dynamics following resistance exercise training.

  2008influential reference
• Non-Linear Analyses of Heart Rate Variability During Heavy Exercise and Recovery in Cyclists

  2006influential reference
• Fractal and Complexity Measures of Heart Rate Variability

  2005cited by this paper
• Influence of Atropine on Fractal and Complexity Measures of Heart Rate Variability

  2002cited by this paper
• Fractal dynamics in physiology: Alterations with disease and aging

  2002cited by this paper
• Reversal of Deteriorated Fractal Behavior of Heart Rate Variability by Beta‐Blocker Therapy in Patients with Advanced Congestive Heart Failure

  2001cited by this paper
• Physiological time-series analysis using approximate entropy and sample entropy.

  2000cited by this paper
• Quantification of scaling exponents and crossover phenomena in nonstationary heartbeat time series

  1999cited by this paper
• Central vagotonic effects of atropine modulate spectral oscillations of sympathetic nerve activity.

  1998cited by this paper
• Is the Geometry of Nature Fractal?

  1998cited by this paper
• Relationship between spectral components of cardiovascular variabilities and direct measures of muscle sympathetic nerve activity in humans.

  1997cited by this paper
• Heart rate variability: standards of measurement, physiological interpretation and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology.

  1996cited by this paper
• Quantitative beat-to-beat analysis of heart rate dynamics during exercise.

  1996cited by this paper
• Heart rate variability. Standards of measurement, physiological interpretation, and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology.

  1996influential reference
• Heart rate variability. Standards of measurement, physiological interpretation, and clinical use

  1996cited by this paper
• Physics and Fractal Structures

  1996influential reference
• Quantification of scaling exponents and crossover phenomena in nonstationary heartbeat time series.

  1995cited by this paper
• Heart Rate Spectral Analysis, Cardiac Norepinephrine Spillover, and Muscle Sympathetic Nerve Activity During Human Sympathetic Nervous Activation and Failure

  1994cited by this paper
• Autonomic control of heart rate during physical exercise and fractal dimension of heart rate variability.

  1993cited by this paper
• Long-range anticorrelations and non-Gaussian behavior of the heartbeat.

  1993cited by this paper
• Fractal landscapes in biological systems: long-range correlations in DNA and interbeat heart intervals.

  1992cited by this paper
• A regularity statistic for medical data analysis

  1991cited by this paper
• Aging and the complexity of cardiovascular dynamics.

  1991cited by this paper
• Chaos and fractals in human physiology.

  1990cited by this paper
• Introduction to Applied Nonlinear Dynamical Systems and Chaos

  1989cited by this paper
• Fractal geometry

  1989cited by this paper
• Transfer function analysis of autonomic regulation. I. Canine atrial rate response.

  1989influential reference
• Why are so many biological systems periodic?

  1987cited by this paper
• Assessment of parasympathetic control of heart rate by a noninvasive method.

  1984influential reference
• Respiratory sinus arrhythmia: noninvasive measure of parasympathetic cardiac control.

  1975influential reference
• ELECTRONIC EVALUATION OF THE FETAL HEART RATE. VIII. PATTERNS PRECEDING FETAL DEATH, FURTHER OBSERVATIONS.

  1963cited by this paper
• ELECTRONIC EVALUATION OF THE FETAL HEART RATE. VIII. PATTERNS PRECEDING FETAL DEATH, FURTHER OBSERVATIONS.

  1963cited by this paper
• The Journal of General Physiology

  year unknowncited by this paper

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  2016cites this paper
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  2016cites this paper
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