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Multiscale aspects of cardiac control

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  • Ivanov, Plamen Ch.
  • Chen, Zhi
  • Hu, Kun
  • Eugene Stanley, H.

Abstract

We report some recent attempts to understand the dynamics of complex physiologic fluctuations by adapting and extending concepts and methods developed very recently in statistical physics. We first review recent progress using wavelet-based multifractal analysis, magnitude and sign decomposition analysis and a new segmentation algorithm to quantify multiscale features of heartbeat interval series. We then investigate how heartbeat dynamics change with circadian influences and under pathologic conditions, and we discuss their possible relation to the underlaying cardiac control mechanisms. The analytic tools we discuss may be used on a wider range of physiologic signals.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:phsmap:v:344:y:2004:i:3:p:685-704
    DOI: 10.1016/j.physa.2004.08.016
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    References listed on IDEAS

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    1. 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.
    2. Stanley, H.E & Amaral, L.A.N & Gopikrishnan, P & Plerou, V, 2000. "Scale invariance and universality of economic fluctuations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 283(1), pages 31-41.
    3. Havlin, S & Amaral, L.A.N & Ashkenazy, Y & Goldberger, A.L & Ivanov, P.Ch & Peng, C.-K & Stanley, H.E, 1999. "Application of statistical physics to heartbeat diagnosis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 274(1), pages 99-110.
    4. Ashkenazy, Yosef & Havlin, Shlomo & Ivanov, Plamen Ch. & Peng, Chung-K. & Schulte-Frohlinde, Verena & Stanley, H.Eugene, 2003. "Magnitude and sign scaling in power-law correlated time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 323(C), pages 19-41.
    5. Plamen Ch. Ivanov & Luís A. Nunes Amaral & Ary L. Goldberger & Shlomo Havlin & Michael G. Rosenblum & Zbigniew R. Struzik & H. Eugene Stanley, 1999. "Multifractality in human heartbeat dynamics," Nature, Nature, vol. 399(6735), pages 461-465, June.
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    Cited by:

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    2. Huo, Chengyu & Huang, Xiaolin & Zhuang, Jianjun & Hou, Fengzhen & Ni, Huangjing & Ning, Xinbao, 2013. "Quadrantal multi-scale distribution entropy analysis of heartbeat interval series based on a modified Poincaré plot," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(17), pages 3601-3609.
    3. Okano, Masahiro & Kurebayashi, Wataru & Shinya, Masahiro & Kudo, Kazutoshi, 2019. "Hybrid dynamics in a paired rhythmic synchronization–continuation task," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 625-638.
    4. 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.
    5. Yao, Wenpo & Zhang, Yuping & Wang, Jun, 2018. "Quantitative analysis in nonlinear complexity detection of meditative heartbeats," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 1060-1068.
    6. Yin, Yi & Shang, Pengjian & Xia, Jianan, 2015. "Compositional segmentation of time series in the financial markets," Applied Mathematics and Computation, Elsevier, vol. 268(C), pages 399-412.
    7. 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).

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