Impact of Meditation on Mental Health: A Case Study with Two Meditation Practices using Heart Rate Variability

Authors

  • Kabita Devi Department of Electronics and Communication Engineering, Tezpur University Author
  • Siddeswars Bargur Linganna Department of Child and Adolescent Psychiatry, Lokpriya Gopinath Bordoloi Regional Institute of Mental Health Author
  • Bhabesh Deka Department of Electronics and Communication Engineering, Tezpur University Author

DOI:

https://doi.org/10.63635/mrj.v1i1.13

Keywords:

Heart Rate Variability (HRV), Meditation, Mental Health, Autonomic Nervous System (ANS), Internet of Medical Things (IoMT)

Abstract

Heart rate variability (HRV) signals provide a non-invasive way of analyzing the functioning of the autonomic nervous system (ANS), providing important information on how mental states affect the body. This study focused on how HRV features change during meditation compared to pre-meditation states. In this work, we propose analysis of HRV signals using nonlinear features including the detrended fluctuation analysis, the Hurst exponent, the approximation entropy, the degree of distribution, and the multiscale permutation entropy. The analysis was performed on the publicly available databases [1] which consists of HRV signals of subjects before and after practice of Chi meditation and Kundalini Yoga. The proposed study shows that there is a characteristic variation in both meditation states, which indicates enhanced parasympathetic activity and reduced stress levels during meditation. These changes underscore the potential of HRV analysis to quantify the physiological benefits of meditative practices and their impact on mental health and well-being.

References

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Published

2025-01-21

Issue

Volume 1, Issue 1, 2025

Section

Case Studies

License

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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How to Cite

Devi, K., Linganna, S. B., & Deka, B. (2025). Impact of Meditation on Mental Health: A Case Study with Two Meditation Practices using Heart Rate Variability. Multidisciplinary Research Journal, 1(1), 111-116. https://doi.org/10.63635/mrj.v1i1.13

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