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Investigation on HRV Signal Dynamics for Meditative Intervention

  • Dipen Deka
  • Bhabesh DekaEmail author
Conference paper
  • 20 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1154)

Abstract

Heart rate variability (HRV) has been a very useful marker in unfolding the activity of the autonomic nervous system (ANS) for different actions and state of the human mind. With the continuous uprise in the meditation/yoga practitioners, for its well-known positive impacts on overall well-being, we have intended to find scientific evidences behind it. On that account, we have computed three nonlinear parameters, named increment entropy, fluctuation coefficient, and degree of dispersion to characterize the complex dynamical behaviour of HRV signal during meditation obtained from PhysioNet database. Further, time and frequency domain parameters are also evaluated to establish its correlation with nonlinear measures. The results from the analysis have demonstrated a decrease in the chaotic complexity and dynamics of the HRV signal during meditation, which can be used as a reliable tool in detecting diseases related to cardiology, endocrinology, and psychiatry.

Keywords

HRV analysis Autonomic nervous system Meditation Yoga Increment entropy Fluctuation Dispersion 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of Instrumentation EngineeringCentral Institute of TechnologyKokrajharIndia
  2. 2.Department of Electronics and Communication EngineeringTezpur UniversityTezpurIndia

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