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Scaling and universality in heart rate variability distributions

Author

Listed:
  • Ivanov, P.Ch
  • Rosenblum, M.G
  • Peng, C.-K
  • Mietus, J.E
  • Havlin, S
  • Stanley, H.E
  • Goldberger, A.L

Abstract

We find that a universal homogeneous scaling form describes the distributions of cardiac variations for a group of healthy subjects, which is stable over a wide range of time scales. However, a similar scaling function does not exist for a group with a common cardiopulmonary instability associated with sleep apnea. Subtle differences in the distributions for the day- and night-phase dynamics for healthy subjects are detected.

Suggested Citation

  • Ivanov, P.Ch & Rosenblum, M.G & Peng, C.-K & Mietus, J.E & Havlin, S & Stanley, H.E & Goldberger, A.L, 1998. "Scaling and universality in heart rate variability distributions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 249(1), pages 587-593.
    • Handle: RePEc:eee:phsmap:v:249:y:1998:i:1:p:587-593
    DOI: 10.1016/S0378-4371(97)00522-0
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    Cited by:

    1. Li, Jin & Chen, Chen & Yao, Qin & Zhang, Peng & Wang, Jun & Hu, Jing & Feng, Feilong, 2018. "The effect of circadian rhythm on the correlation and multifractality of heart rate signals during exercise," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 1207-1213.
    2. Joydeep Bhattacharya, 2009. "Increase of Universality in Human Brain during Mental Imagery from Visual Perception," PLOS ONE, Public Library of Science, vol. 4(1), pages 1-11, January.
    3. 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.
    4. Liu, Yunxiao & Lin, Youfang & Jia, Ziyu & Wang, Jing & Ma, Yan, 2021. "A new dissimilarity measure based on ordinal pattern for analyzing physiological signals," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 574(C).
    5. Yang, Xiaodong & Wang, Zhixiao & He, Aijun & Wang, Jun, 2020. "Identification of healthy and pathological heartbeat dynamics based on ECG-waveform using multifractal spectrum," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 559(C).
    6. Havlin, S. & Buldyrev, S.V. & Bunde, A. & Goldberger, A.L. & Ivanov, P.Ch. & Peng, C.-K. & Stanley, H.E., 1999. "Scaling in nature: from DNA through heartbeats to weather," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 273(1), pages 46-69.
    7. Ivanov, Plamen Ch. & Chen, Zhi & Hu, Kun & Eugene Stanley, H., 2004. "Multiscale aspects of cardiac control," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 344(3), pages 685-704.
    8. Billat, Véronique L. & Mille-Hamard, Laurence & Meyer, Yves & Wesfreid, Eva, 2009. "Detection of changes in the fractal scaling of heart rate and speed in a marathon race," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(18), pages 3798-3808.
    9. Machado Filho, A. & da Silva, M.F. & Zebende, G.F., 2014. "Autocorrelation and cross-correlation in time series of homicide and attempted homicide," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 400(C), pages 12-19.

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