Viscoelastic Glucose Theory (VGT 10): Applying Elasticity Theory, Viscoelasticity Theory, and Energy Theory to Conduct a Comparison Study Between the Authors Collected 101,595 Postprandial Plasma Glucose (PPG) Data and Synthesized Waveform During the Past 6.5 Years and Two Hypothetical Cases of PPG Data and Waveforms to Illustrate Viscoelastic PPG Behavior and Associated Relative Energy of PPG Based on GH-Method: Math-Physical Medicine (No. 589)

Abstract

Gerald C Hsu

The author utilized a continuous glucose monitoring (CGM) sensor device to collect 96 glucoses daily along with 13 postprandial plasma glucose (PPG) data for each meal. To date, he has collected 7,815 meals PPG values (a total of 101,595 data) with an average carbs/sugar intake amount of 14.1 grams and an average post-meal walking of 4.325 k-steps. Recently, he has applied viscoelastic and viscoplastic glucose theory (VGT) to conduct his research on various biomarkers behaviors since almost all known biomarkers are time-dependent variables. Initially, he completed the PPG behavior analyses using 3 known methods: time-domain (TD), space-domain (SD), and frequency-domain (FD). They are used to study the PPG wave characteristics, viscoelastic stress-strain relationship, and PPG’s associated energy from TD and FD. Out of curiosity regarding the applicability of research findings of using his PPG data, he decided to construct two hypothetical cases. The first case was to construct one PPG waveform based on linear elastic glucose theory (LEGT) which is named as the “triangle case” due to its PPG waveform shape. The second case was to construct another PPG waveform which climbed from 0-minute to 60-minutes before remaining flat after 60-minutes; therefore, it is named as the “flat case” due to its PPG waveform shape after 60-minutes. Once the two PPG curves were constructed in TD, he followed the same procedures to build their respective spatial-diagram of stress-strain relationship for the viscoelastic validation and FD using fast Fourier Transform (FFT) for energy estimation.

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