Fractal mechanisms and heart rate dynamics: Long-range correlations and their breakdown with disease

C. K. Peng; S. Havlin; J. M. Hausdorff; J. E. Mietus; H. E. Stanley; A. L. Goldberger

doi:10.1016/S0022-0736(95)80017-4

Fractal mechanisms and heart rate dynamics: Long-range correlations and their breakdown with disease

C. K. Peng, S. Havlin, J. M. Hausdorff, J. E. Mietus, H. E. Stanley, A. L. Goldberger

Department of Physics

Research output: Contribution to journal › Article › peer-review

286 Scopus citations

Abstract

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 (eg, 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

Original language	English
Pages (from-to)	59-65
Number of pages	7
Journal	Journal of Electrocardiology
Volume	28
DOIs	https://doi.org/10.1016/S0022-0736(95)80017-4
State	Published - 1995

Bibliographical note

Funding Information:
Partial support was provided to Dr. Peng by NIH/NIMH NRSA Postdoctoral Fellowship, to Dr. Hausdorff by NIA, to Drs. Stanley and HavEn by NSF, and to Dr. Goldberger by the G. Harold and Leila Y. Mathers Charitable Foundation, NIDA, and NASA.

Keywords

cardiac interbeat interval
fluctuation
fractal scaling analysis
sudden cardiac death

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10.1016/S0022-0736(95)80017-4

Cite this

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title = "Fractal mechanisms and heart rate dynamics: Long-range correlations and their breakdown with disease",

abstract = "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 (eg, 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",

keywords = "cardiac interbeat interval, fluctuation, fractal scaling analysis, sudden cardiac death",

author = "Peng, {C. K.} and S. Havlin and Hausdorff, {J. M.} and Mietus, {J. E.} and Stanley, {H. E.} and Goldberger, {A. L.}",

note = "Funding Information: Partial support was provided to Dr. Peng by NIH/NIMH NRSA Postdoctoral Fellowship, to Dr. Hausdorff by NIA, to Drs. Stanley and HavEn by NSF, and to Dr. Goldberger by the G. Harold and Leila Y. Mathers Charitable Foundation, NIDA, and NASA.",

year = "1995",

doi = "10.1016/S0022-0736(95)80017-4",

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T2 - Long-range correlations and their breakdown with disease

AU - Peng, C. K.

AU - Havlin, S.

AU - Hausdorff, J. M.

AU - Mietus, J. E.

AU - Stanley, H. E.

AU - Goldberger, A. L.

N1 - Funding Information: Partial support was provided to Dr. Peng by NIH/NIMH NRSA Postdoctoral Fellowship, to Dr. Hausdorff by NIA, to Drs. Stanley and HavEn by NSF, and to Dr. Goldberger by the G. Harold and Leila Y. Mathers Charitable Foundation, NIDA, and NASA.

PY - 1995

Y1 - 1995

N2 - 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 (eg, 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

AB - 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 (eg, 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

KW - cardiac interbeat interval

KW - fluctuation

KW - fractal scaling analysis

KW - sudden cardiac death

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JO - Journal of Electrocardiology

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ER -

Fractal mechanisms and heart rate dynamics: Long-range correlations and their breakdown with disease

Abstract

Bibliographical note

Keywords

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