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Fractal scaling behavior of heart rate variability in response to meditation techniques

Author

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  • Alvarez-Ramirez, J.
  • Rodríguez, E.
  • Echeverría, J.C.

Abstract

The rescaled range (R/S) analysis was used for analyzing the fractal scaling properties of heart rate variability (HRV) of subjects undergoing premeditation and meditation states. Eight novice subjects and four advanced practitioners were considered. The corresponding pre-meditation and meditation HRV data were obtained from the Physionet database. The results showed that mindfulness meditation induces a decrement of the HRV long-range scaling correlations as quantified with the time-variant Hurst exponent. The Hurst exponent for advanced meditation practitioners decreases up to values of 0.5, reflecting uncorrelated (e.g., white noise-like) HRV dynamics. Some parallelisms between mindfulness meditation and deep sleep (Stage 4) are discussed, suggesting that the former can be regarded as a type of induced deep sleep-like dynamics.

Suggested Citation

  • Alvarez-Ramirez, J. & Rodríguez, E. & Echeverría, J.C., 2017. "Fractal scaling behavior of heart rate variability in response to meditation techniques," Chaos, Solitons & Fractals, Elsevier, vol. 99(C), pages 57-62.
    • Handle: RePEc:eee:chsofr:v:99:y:2017:i:c:p:57-62
    DOI: 10.1016/j.chaos.2017.03.026
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    References listed on IDEAS

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    1. Song, Renliang & Bian, Chunhua & Ma, Qianli D.Y., 2013. "Multifractal analysis of heartbeat dynamics during meditation training," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(8), pages 1858-1862.
    2. Alvarez-Ramirez, Jose & Alvarez, Jesus & Rodriguez, Eduardo & Fernandez-Anaya, Guillermo, 2008. "Time-varying Hurst exponent for US stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(24), pages 6159-6169.
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    1. 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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