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How random is your heart beat?

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  • Urbanowicz, Krzysztof
  • Żebrowski, Jan J.
  • Baranowski, Rafał
  • Hołyst, Janusz A.

Abstract

We measure the content of random uncorrelated noise in heart rate variability using a general method of noise level estimation using a coarse-grained entropy. We show that usually, except for atrial fibrillation, the level of such noise is within 5–15% of the variance of the data and that the variability due to the linearly correlated processes is dominant in all cases analyzed but atrial fibrillation. The nonlinear deterministic content of heart rate variability remains significant and may not be ignored.

Suggested Citation

  • Urbanowicz, Krzysztof & Żebrowski, Jan J. & Baranowski, Rafał & Hołyst, Janusz A., 2007. "How random is your heart beat?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 384(2), pages 439-447.
    • Handle: RePEc:eee:phsmap:v:384:y:2007:i:2:p:439-447
    DOI: 10.1016/j.physa.2007.05.052
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    References listed on IDEAS

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    1. Stanley, H.E. & Amaral, L.A.N. & Goldberger, A.L. & Havlin, S. & Ivanov, P.Ch. & Peng, C.-K., 1999. "Statistical physics and physiology: Monofractal and multifractal approaches," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 270(1), pages 309-324.
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    Cited by:

    1. Camillo Cammarota, 2011. "The difference-sign runs length distribution in testing for serial independence," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(5), pages 1033-1043, February.
    2. Chołoniewski, Jan & Chmiel, Anna & Sienkiewicz, Julian & Hołyst, Janusz A. & Küster, Dennis & Kappas, Arvid, 2016. "Temporal Taylor’s scaling of facial electromyography and electrodermal activity in the course of emotional stimulation," Chaos, Solitons & Fractals, Elsevier, vol. 90(C), pages 91-100.

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    Keywords

    Noise estimation; Heart rate variability;

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