Study of Annual CGM Sensor PPG Versus FPG Baseline, PPG Rise, PPG Drop Using Viscoplastic Energy Model of GH-Method: Math-Physical Medicine (No. 1027, Viscoelastic Medicine Theory #425)

Abstract

Gerald C. Hsu

The author used his personally collected continuous glucose monitoring (CGM) sensor data to study the relationship between his postprandial glucose rising amount (PPG Rise) and carbohydrate/sugar intake in grams, as well as his postprandial glucose dropping amount (PPG Drop) and post-meal walking steps.

Initially, he calculated his averaged annual PPG Rise rate and PPG Drop rate as well as the total time period from 5/5/2018 to 1/30/2024 using simple statistical averaging calculations.

Subsequently, he applied a space-domain Viscoplastic medicine theory's stress-strain energy model to calculate the energy contribution percentages from PPG baseline, PPG Rise, and PPG Drop on annualized PPG output strain values.

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