Use this url to cite publication: https://hdl.handle.net/20.500.12512/22482
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Identification of a Group's Physiological Synchronization with Earth's magnetic field / I. Timofejeva, R. McCraty, M. Atkinson, R. Joffe, A. Vainoras, A.A. Alabdulgader, M. Ragulskis
Type of publication
Konferencijų tezės nerecenzuojamame leidinyje / Conference theses in non-peer-reviewed publication (T2)
Author(s)
Timofejeva, Inga | Kauno technologijos universitetas | |
McCraty, Rollin | HeartMath Institute, Boulder Creek, CA, USA | |
Atkinson, Michael | HeartMath Institute, Boulder Creek, CA, USA | |
Alabdulgader, Abdullah | Prince Sultan Cardiac Centre AlHassa, Saudi Arabia | King Fahad Hospital, Saudi Arabia |
Ragulskis, Minvydas Kazys | Kauno technologijos universitetas |
Title
Identification of a Group's Physiological Synchronization with Earth's magnetic field / I. Timofejeva, R. McCraty, M. Atkinson, R. Joffe, A. Vainoras, A.A. Alabdulgader, M. Ragulskis
Date Issued
Date Issued |
---|
2019-03-24 |
Extent
p. 94-94.
Is part of
King of Organs 2019 – The 5th International Conference for Advanced Cardiac and Heart Transplant Heart Sciences from Genes to Galaxies : March 24-27, 2019, Kingdom of Saudi Arabia : conference abstracts / organized by the Prince Sultan Heart Center in Al-Ahsa, in collaboration with the Cardiology Center at the Hospital La Salpetriere in Paris. European Heart Association and the Saudi Heart Association. .
Version
Originalus / Original
Description
no. 1
Session 6. Energetic interconnectivity.
Field of Science
Abstract
A new analysis technique for the evaluation of the degree of geometrical 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. The technique was validated using a system of two nonlinear pendulum models with harmonic excitation coupled with diffusive terms. It was shown that as the coupling parameter is increased, the synchronization between numerical solutions corresponding to respective oscillators also increases. Furthermore, the transition between different synchronization regimes is investigated and it is demonstrated that the presented technique is able to distinguish different coupling strengths of the considered nonliner chaotic oscillators. The validated technique was applied to the real-world data in the following way: HRV and magnetic field time series were reduced into respective sequences of integers using chaotic attractor embedding. Firstly, a time series is mapped to the two-dimensional space using standard embedding techniques. [...].
Type of document
type::text::conference output::conference proceedings::conference paper
Other Identifier(s)
(LSMU ALMA)990000981180107106
Coverage Spatial
Pietų Afrikos Respublika / South Africa (ZA)
Language
Anglų / English (en)
Affiliation(s)