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Cognitive Neurodynamics
Erschienen in: Cognitive Neurodynamics 1/2019

27.08.2018 | Research Article

Analysis of heart rate signals during meditation using visibility graph complexity

verfasst von: Mahda Nasrolahzadeh, Zeynab Mohammadpoory, Javad Haddadnia

Erschienen in: Cognitive Neurodynamics | Ausgabe 1/2019

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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.
Vorheriger Artikel Effects of aerobic exercise on sad emotion regulation in young women: an electroencephalograph study
Nächster Artikel Burst synchronization in a scale-free neuronal network with inhibitory spike-timing-dependent plasticity

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Metadaten
Titel
Analysis of heart rate signals during meditation using visibility graph complexity
verfasst von
Mahda Nasrolahzadeh
Zeynab Mohammadpoory
Javad Haddadnia
Publikationsdatum
27.08.2018
Verlag
Springer Netherlands
Erschienen in
Cognitive Neurodynamics / Ausgabe 1/2019
Print ISSN: 1871-4080
Elektronische ISSN: 1871-4099
DOI
https://doi.org/10.1007/s11571-018-9501-5

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