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The distribution of low-variability periods in human heartbeat dynamics

Author

Listed:
  • Säkki, M
  • Kalda, J
  • Vainu, M
  • Laan, M

Abstract

We study the long-term dynamics of the short-time variability level of human heart rate, an aspect which is not addressed by the traditional methods of non-linear time-series analysis. The length-distribution of low-variability periods in human heartbeat dynamics typically follows a multi-scaling power law. The values of the scaling exponents are personal characteristics and depend on the daily habits of the subjects. Though, the distribution function of the low-variability periods as a whole discriminates efficiently between several heart pathologies.

Suggested Citation

  • Säkki, M & Kalda, J & Vainu, M & Laan, M, 2004. "The distribution of low-variability periods in human heartbeat dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 338(1), pages 255-260.
    • Handle: RePEc:eee:phsmap:v:338:y:2004:i:1:p:255-260
    DOI: 10.1016/j.physa.2004.02.048
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    Citations

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    Cited by:

    1. Thuraisingham, Ranjit A. & Gottwald, Georg A., 2006. "On multiscale entropy analysis for physiological data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 366(C), pages 323-332.
    2. Maie Bachmann & Maksim Säkki & Jaan Kalda & Jaanus Lass & Viiu Tuulik & Hiie Hinrikus, 2005. "Effect of 450 MHz Microwave Modulated with 217 Hz on Human EEG in Rest," Environment Systems and Decisions, Springer, vol. 25(2), pages 165-171, December.
    3. Maie Bachmann & Ruth Tomson & Jaan Kalda & Maksim Säkki & Jaanus Lass & Viiu Tuulik & Hiie Hinrikus, 2007. "Individual changes in human EEG caused by 450 MHz microwave modulated at 40 and 70 Hz," Environment Systems and Decisions, Springer, vol. 27(4), pages 511-517, December.

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