Possibilities of the Akabane Test and Cosinor Analysis to Predict the Level of Glycemia and the Individual Selection of Drugs and their Doses in the Treatment of Diabetes
Published: 13 August 2020
Biomedical Journal of Scientific & Technical Research , Volume 29, pp 22502-22510; doi:10.26717/bjstr.2020.29.004814
Abstract: Author Affiliations 1Med Byte Ltd, Russia 2Laboratory of Information Technologies and Mathematical Simulation, Russia 3Software Engineering, Russia Received: August 01, 2020 | Published: August 13, 2020 Corresponding author: Valery Muzhikov, Gzhatskaya str. 5/3-139, St. Petersburg, Russia DOI: 10.26717/BJSTR.2020.29.004814 Background: Every living matter is characterized by rhythm in the basis of its existence and the laws of symmetry apply in it. System of acupuncture channels (АС) reflects the basic processes in the body, rhythm and symmetry are also peculiar to them, which through them can be estimated much more simply than, for example, based on biochemical or physiological parameters of the body. Methods: A patient with type 1 diabetes performed 43 Akabane tests at different times of the day for 18 days. With each test, she recorded blood sugar, insulin dose and assessed the effect on the body of various other factors in arbitrary units (from 1 to 10) with an assessment of their effect on the level of glycemia using regression and correlation analysis. The rhythmic activity of АС was also analyzed using Cosinor analysis. Results: It was found that the influence on the level of glycemia through certain AС is exerted by many external and internal factors. In routine monitoring of blood sugar, they cannot be foreseen, because blood glucose itself is the final product in a large chain of metabolic reactions that cannot be controlled in this way. The activity of certain AС reflects these influences and changes cyclically, which can be used to evaluate biorhythms. It was shown that a correctly selected medicine at an individual level restores symmetry in the body, which is broken at different levels from the effects of the disease. Conclusion: Using the regression analysis and the Cosinor method for assessing the contribution of AС to glycemia, it is shown that different AС have different phases, amplitudes and periods of biorhythms, therefore, due to their interference within the same regression model, sharp fluctuations glycemia are possible, which can be predicted in time. By assessing the asymmetry at the AС level in the body, it is also possible to carry out individual selection of drugs and their doses Keywords: Akabane Test; Medicine Action; Chronopharmacology; Kosinor - Analyses; Telemedicine
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