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Dynamical complexity changes during two forms of meditation

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  • Li, Jin
  • Hu, Jing
  • Zhang, Yinhong
  • Zhang, Xiaofeng

Abstract

Detection of dynamical complexity changes in natural and man-made systems has deep scientific and practical meaning. We use the base-scale entropy method to analyze dynamical complexity changes for heart rate variability (HRV) series during specific traditional forms of Chinese Chi and Kundalini Yoga meditation techniques in healthy young adults. The results show that dynamical complexity decreases in meditation states for two forms of meditation. Meanwhile, we detected changes in probability distribution of m-words during meditation and explained this changes using probability distribution of sine function. The base-scale entropy method may be used on a wider range of physiologic signals.

Suggested Citation

  • Li, Jin & Hu, Jing & Zhang, Yinhong & Zhang, Xiaofeng, 2011. "Dynamical complexity changes during two forms of meditation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(12), pages 2381-2387.
    • Handle: RePEc:eee:phsmap:v:390:y:2011:i:12:p:2381-2387
    DOI: 10.1016/j.physa.2011.02.003
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    References listed on IDEAS

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    1. Carsten Schäfer & Michael G. Rosenblum & Jürgen Kurths & Hans-Henning Abel, 1998. "Heartbeat synchronized with ventilation," Nature, Nature, vol. 392(6673), pages 239-240, March.
    2. Li, Jin & Ning, Xinbao, 2007. "Classification of physiologic and synthetic heart rate variability series using base-scale entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 384(2), pages 423-428.
    3. 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:

    1. Zhang, Yin & Li, Jin & Wang, Jun, 2017. "Exploring stability of entropy analysis for signal with different trends," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 470(C), pages 60-67.
    2. Anaya, Karim L. & Pollitt, Michael G., 2014. "Experience with smarter commercial arrangements for distributed wind generation," Energy Policy, Elsevier, vol. 71(C), pages 52-62.
    3. Goshvarpour, Atefeh & Goshvarpour, Ateke, 2019. "Matching pursuit based indices for examining physiological differences of meditators and non-meditators: An HRV study," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 147-156.

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