The parameters of gas discharge visualization (biophotonics) correlated with parameters of acupuncture points, EEG, HRV and hormones
KeywordsGas Discharge Visualization, Acupuncture Points, EEG, HRV, Cortisol, Testosterone, Triiodothyronine, Relationships
Background. Previously we have been shown that exist strong canonical correlation between parameters of GDV and principal neuroendocrine factors of adaptation as well as parameters of leukocytogram, immunity and phagocytosis. This study, conducted on a much expanded contingent, will analyze the relationships between GDV parameters, on the one hand, and the parameters of acupuncture points (APs), EEG, HRV and adaptation hormones, on the other. Material and Methods. We observed twice 31 women and 29 men aged 26-76 years with dysfunction of neuroendocrine-immune complex. In the morning in basal conditions at first registered kirlianogram by the method of GDV by the device “GDV Chamber” (“Biotechprogress”, SPb, RF). Than we registered simultaneously EEG and HRV and recorded electrical conductivity of three pairs of Aps. Finally, a blood sample was taken to determine the plasma levels of the main hormones of adaptation: cortisol, testosterone and triiodothyronine. Results processed by method of canonical analysis, using the software package “Statistica 64”. Results. The coefficient of canonical correlation between the electrical conductivity of APs and gas-discharge image (GDI) parameters is 0,635; between APs and virtual Chakras parameters – 0,614; instead, between APs and GDV parameters as a whole – 0,707. The autonomic-endocrine constellation is somewhat more strongly associated with GDI parameters than with virtual Chakras parameters (0,769 vs 0,712). Additional inclusion of EEG parameters in the neuroendocrine set increases the strength of the canonical correlation to 0,869. Conclusion. The above data, taken together with the previous ones, state that between parameters of neuroendocrine-immune complex and GDV exist strong canonical correlation suggesting suitability of the latter method.
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Copyright (c) 2021 Valeriy Babelyuk, Ruslan Tserkovniuk, Nazariy Babelyuk, Xawery Zukow, Sofiya Ruzhylo, Galyna Dubkova, Tetyana Korolyshyn, Viktor Hubyts’kyi, Volodymyr Kikhtan, Anatoliy Gozhenko, Igor Popovych
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