Viscoelastic glucose theory (VGT 27): Applying the Concept of Viscoelasticity Theory and using the Estimated Daily Glucose (eAG) over a 3.8-Year Period from 5/8/2018 to 2/17/2022 as the Strain to Study the Role and Influences of the Corresponding Stress as well as their Impact on the Predicted eAG Results Based on the GH-Method: Math-Physical Medicine (No. 608)

Abstract

Gerald C Hsu

Recently, the author applied theories of elasticity, plasticity, viscoelasticity, and viscoplasticity from engineering and perturbation theory from quantum mechanics, along with the wave theory and energy theory from physics to conduct his biomedical research on certain output biomarkers, such as glucose (symptoms or behaviors) resulting from a selected input biomarker, such as the carbs/sugar amount, exercise level, or others (causes or stressors). In this article, he chose his synthesized estimated daily glucose (eAG) data and waveform over the past 3.8 years as the strain (ε or output, symptom). Since 5/8/2018, he has been utilizing a continuously monitoring glucose (CGM) sensor device to collect 96 glucose data each day at 15-minute time intervals. In order to investigate and learn the behaviors of the strain (ε) or eAG, and its stress (σ) or input/cause as defined to be the eAG change rate multiplied by a selected viscosity factor (η), he purposely select two values of η as 1 and 2. After conducting the stress-strain analysis based on 1 and 2 as his viscosity factors (η), he then uses another set of measured values: average daily carbs/sugar intake amount of 41.13 grams and average daily walking exercise of 16.02 k-steps, as the second set of viscosity factors (η).

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