Fractal mechanisms and heart rate dynamics
Open accessAbstract
Under healthy conditions, the normal cardiac (sinus) interbeat interval fluctuates in a complex manner. Quantitative analysis using techniques adapted from statistical physics reveals the presence of long-range power-law correlations extending over thousands of heartbeats. This scale-invariant (fractal) behavior suggests that the regulatory system generating these fluctuations is operating far from equilibrium. In contrast, it is found that for subjects at high risk of sudden death (e.g., congestive heart failure patients), these long-range correlations break down. Application of fractal scaling analysis and related techniques provides new approaches to assessing cardiac risk and forecasting sudden cardiac death, as well as motivating development of novel physiologic models of systems that appear to be heterodynamic rather than homeostatic.
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The fractal pattern of heart beat variability breaks down with disease and its change is predictive of mortality.
“This fractal pattern breaks down with disease and its change is predictive of mortality”
From The impact of the circadian timing system on cardiovascular and metabolic function (2012) · cites this paper as Peng et al., 1995
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- Authors
- Peng, C.-K., Havlin, S., Hausdorff, J. M., Mietus, J. E., Stanley, H. E., & Goldberger, A. L.
- Affiliations
- Boston University (US)
- Harvard University (US)
- Corresponding author
- Peng, C.-K.
- Venue
- Journal of Electrocardiology
- Publisher
- Elsevier BV
- Published
- 1995
- Volume
- 28
- Pages
- 59-65
- ISSN
- 0022-0736 (ISSN-L)
- OpenAlex
- W1824152488
- Cited by
- 358
- References
- 30
- Citations by year
- 2026: 7 · 2025: 13 · 2024: 7 · 2023: 18 · 2022: 9 · 2021: 18 · 2020: 16 · 2019: 27 · 2018: 15 · 2017: 19 · 2016: 20 · 2015: 16 · 2014: 25 · 2013: 27 · 2012: 19
- FWCI
- 0.61
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Electrocardiology (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Funders
- National Science Foundation
- National Aeronautics and Space Administration
- National Institutes of Health
- National Institute on Aging
- National Institute of Mental Health
- National Institute on Drug Abuse
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Complex Systems and Time Series Analysis
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac electrophysiology and arrhythmias
- Keywords
- heart rate dynamics, fractal scaling, long-range correlations, power-law correlations, cardiac interbeat intervals, cardiac autonomic regulation, congestive heart failure, sudden cardiac death risk, cardiac risk assessment
- MeSH terms
- Adult, Aged, Algorithms, Electrocardiography, Forecasting, Heart Diseases, Heart Failure, Heart Rate, Humans, Middle Aged, Models, Cardiovascular, Risk Factors, Survival Rate, Case-Control Studies, Death, Sudden, Cardiac, Fractals, Ventricular Dysfunction, Left, Risk Assessment
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