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Journal Article

Citation

Timofejeva I, McCraty R, Atkinson M, Joffe R, Vainoras A, Alabdulgader AA, Ragulskis M. Int. J. Environ. Res. Public Health 2017; 14(9): e14090998.

Affiliation

Department of Mathematical Modelling, Kaunas University of Technology, 51368 Kaunas, Lithuania. minvydas.ragulskis@ktu.lt.

Copyright

(Copyright © 2017, MDPI: Multidisciplinary Digital Publishing Institute)

DOI

10.3390/ijerph14090998

PMID

28862697

Abstract

A new analysis technique for the evaluation of the degree of synchronization between the physiological state of a group of people and changes in the Earth's magnetic field based on their cardiac inter-beat intervals was developed and validated. The new analysis method was then used to identify clusters of similar synchronization patterns in a group of 20 individuals over a two-week period. The algorithm for the identification of slow wave dynamics for every person was constructed in order to determine meaningful interrelationships between the participants and the local magnetic field data. The results support the hypothesis that the slow wave rhythms in heart rate variability can synchronize with changes in local magnetic field data, and that the degree of synchronization is affected by the quality of interpersonal relationships.


Language: en

Keywords

earth’s magnetic field; geomagnetic field; heart rate variability; nonlinear dynamical systems; psychophysiology

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