Viscoelastic or Viscoplastic Glucose Theory (VGT #40): Applying VGT to Study the Relationship for Two Input Biomarkers, Finger-Piercing Glucose (m2) vs. a Combination of Blood Pressure and Heart Rate (m3), Using Viscoelastic Perturbation Model to Predict the Finger-Piercing Glucose over an 8+ Year Period from Y2014 to Y2022 Based on the GH-Method: Math-Physical Medicine (No. 621)

Abstract

Gerald C Hsu

Since 2012, the author has been collecting his body weight (m1) and finger-piercing glucose values (m2) each day. In addition, he accumulates medical conditions data including combined data of blood pressure (BP) and heart rate or HR (m3), and blood lipids (m4) along with lifestyle details of diet, exercise, sleep, stress, water intake and daily routine details. Based on the collected big data, he further organized them into two main groups. The first group is medical conditions (MC) with 4 categories: weight, glucose, BP, and blood lipids. The second group is lifestyle details (LD) with 6 categories: food & diet, exercise, water intake, sleep, stress, and daily routines. He collects his daily data and then calculates a unique combined score for each MC and LD with their 10 categories. The combined scores for the 2 groups, 10 categories, and 500+ elements constitute an overall “metabolism index (MI) model”. This MI model includes the root causes of 6 lifestyle inputs and 4 symptoms of disease including the rudimentary chronic diseases: obesity, diabetes, hypertension, and hyperlipidemia.

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