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Lack of evidence for low-dimensional chaos in heart rate variability.

Introduction: The term chaos is used to describe erratic or apparently random time-dependent behavior in deterministic systems. It has been suggested that the variability observed in the normal heart rate may be due to chaos, but this question bas not been settled. Methods and Results: Heart rate va...

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Published in:Journal of Cardiovascular Electrophysiology Vol. 5; no. 7; pp. 591 - 602
Main Authors: Kanters JK, Holstein-Rathlou N, Agner E
Format: Journal Article
Published: Wiley-Blackwell Jul1994
Online Access:View this record in EBSCOhost
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      dt: Jul1994
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      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        atl: Lack of evidence for low-dimensional chaos in heart rate variability.
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          Kanters JK
          Holstein-Rathlou N
          Agner E
      sug:
        subj:
          Chaos Theory
          Heart Rate
          Adolescence
          Adult
          Electrocardiography
          Female
          Male
          Middle Age
          Models, Biological
          Adolescent: 13-18 years
          Adult: 19-44 years
          Middle Aged: 45-64 years
          Female
          Male
      ab: Introduction: The term chaos is used to describe erratic or apparently random time-dependent behavior in deterministic systems. It has been suggested that the variability observed in the normal heart rate may be due to chaos, but this question bas not been settled. Methods and Results: Heart rate variability was assessed by recordings of consecutive RR intervals in ten healthy subjects using ambulatory ECG. All recordings were performed with the subjects at rest in the supine position. To test for the presence of nonlinearities and/or chaotic dynamics, ten surrogate time series were constructed from each experimental dataset. The surrogate data were tailored to have the same linear dynamics and the same amplitude distribution as the original data. Experimental and surrogate data were then compared using various nonlinear measures. Power spectral analysis of the RR intervals showed a 1/f pattern. The correlation dimension differed only slightly between the experimental and the surrogate data, indicating that linear correlations, and not a 'strange' attractor, are the major determinants of the calculated correlation dimension. A test for nonlinear predictability showed coherent nonlinear dynamic structure in the experimental data, but the prediction error as a function of the prediction length increased at a slower rate than characteristic of a low-dimensional chaotic system. Conclusion: There is no evidence for low-dimensional chaos in the time series of RR intervals from healthy human subjects. However, nonlinear determinism is present in the data, and various mechanisms that could generate such determinism are discussed.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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