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Cited by 474

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Quantitative analysis of heart rate variability

Open access
Kurths, J., Voss, A., Saparin, P., Witt, A., Kleiner, H. J., Wessel, N.·1995·Chaos: An Interdisciplinary Journal of Nonlinear Science

Abstract

In the modern industrialized countries every year several hundred thousands of people die due to sudden cardiac death. The individual risk for this sudden cardiac death cannot be defined precisely by common available, noninvasive diagnostic tools like Holter monitoring, highly amplified ECG and traditional linear analysis of heart rate variability (HRV). Therefore, we apply some rather unconventional methods of nonlinear dynamics to analyze the HRV. Especially, some complexity measures that are based on symbolic dynamics as well as a new measure, the renormalized entropy, detect some abnormalities in the HRV of several patients who have been classified in the low risk group by traditional methods. A combination of these complexity measures with the parameters in the frequency domain seems to be a promising way to get a more precise definition of the individual risk. These findings have to be validated by a representative number of patients.

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Metadata

Authors
Kurths, J., Voss, A., Saparin, P., Witt, A., Kleiner, H. J., & Wessel, N.
Venue
Chaos: An Interdisciplinary Journal of Nonlinear Science
Published
1995-03-01
Volume
5
Issue
1
Pages
88-94
ISSN
  • 1054-1500 (ISSN-L)
  • 1089-7682
OpenAlex
W2049941387
Cited by
474
References
1
FWCI
8.56
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Quantitative analysis of heart rate variability. https://app.cochat.ai/papers/10.1063/1.166090
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Kurths, J., Voss, A., Saparin, P., Witt, A., Kleiner, H. J., & Wessel, N. (1995). Quantitative analysis of heart rate variability. Chaos: An Interdisciplinary Journal of Nonlinear Science. https://doi.org/10.1063/1.166090

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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