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Cognitive Neurodynamics

, Volume 13, Issue 1, pp 45–52 | Cite as

Analysis of heart rate signals during meditation using visibility graph complexity

  • Mahda NasrolahzadehEmail author
  • Zeynab Mohammadpoory
  • Javad Haddadnia
Research Article

Abstract

In the dynamics analysis of heart rate, the complexity of visibility graphs (VGs) is seen as a sign of short term variability in signals. The present study was conducted to investigate the possible impact of meditation on heart rate signals complexity using VG method. In this study, existing heart rate signals in Physionet database were used. The dynamics of the signals were then studied both before and during meditation by examining the complexity of VGs using graph index complexity (GIC). Generally, the obtained results showed that the heart rate signals were more complex during meditation. The simple process of calculating the GIC of VG and its adaptability to the chaotic nature of the biological signals can help in estimating the heart rate complexity in meditation.

Keywords

Heart rate Visibility graph Meditation Nonlinear dynamics 

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Copyright information

© Springer Nature B.V. 2018

Authors and Affiliations

  • Mahda Nasrolahzadeh
    • 1
    Email author
  • Zeynab Mohammadpoory
    • 1
  • Javad Haddadnia
    • 1
  1. 1.Department of Biomedical EngineeringHakim Sabzevari UniversitySabzevarIran

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