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

J K Kanters; N H Holstein-Rathlou; E Agner

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

J K Kanters, N H Holstein-Rathlou, E Agner

Biomedicinsk Institut

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

107 Citationer (Scopus)

Abstract

Udgivelsesdato: 1994-Jul

Originalsprog	Engelsk
Tidsskrift	Cardiovascular Electrophysiology
Vol/bind	5
Udgave nummer	7
Sider (fra-til)	591-601
Antal sider	10
ISSN	1045-3873
Status	Udgivet - 1994

Bibliografisk note

Keywords: Adolescent; Adult; Electrocardiography; Female; Heart Rate; Humans; Male; Middle Aged; Models, Biological; Nonlinear Dynamics

Citationsformater

@article{00603700abec11ddb5e9000ea68e967b,

title = "Lack of evidence for low-dimensional chaos in heart rate variability.",

abstract = "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 has 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.",

author = "Kanters, {J K} and Holstein-Rathlou, {N H} and E Agner",

note = "Keywords: Adolescent; Adult; Electrocardiography; Female; Heart Rate; Humans; Male; Middle Aged; Models, Biological; Nonlinear Dynamics",

year = "1994",

language = "English",

volume = "5",

pages = "591--601",

journal = "Journal of Cardiovascular Electrophysiology",

issn = "1045-3873",

publisher = "Wiley-Blackwell",

number = "7",

}

TY - JOUR

T1 - Lack of evidence for low-dimensional chaos in heart rate variability.

AU - Kanters, J K

AU - Holstein-Rathlou, N H

AU - Agner, E

N1 - Keywords: Adolescent; Adult; Electrocardiography; Female; Heart Rate; Humans; Male; Middle Aged; Models, Biological; Nonlinear Dynamics

PY - 1994

Y1 - 1994

N2 - 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 has 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.

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 has 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.

M3 - Journal article

C2 - 7987529

VL - 5

SP - 591

EP - 601

JO - Journal of Cardiovascular Electrophysiology

JF - Journal of Cardiovascular Electrophysiology

SN - 1045-3873

IS - 7

ER -