An Investigation and Comparison of Weight and Glucose Changes, Including Glucose Fluctuations, Among Two Non-Fasting Periods with 115 Breakfasts each and 115 Breakfasts with tea only with 16-Hours Intermittent Fasting Using GH-Method: Math-Physical Medicine (No. 438)

Abstract

Gerald C Hsu

The author uses a continuously monitoring glucose sensor (CMGS) device to collect his glucose data (sensor glucoses) from 5/5/2018 to 3/1/2021 which contain a total of 1,023 breakfasts. He selects a special shorter period of 130 days with two equal length periods of 65 days each for non-fasting breakfasts and fasting days (16-hours each day of intermittent fasting or IF). This investigation contains two parts. The first part is the study of sensor-collected postprandial plasma glucoses (PPG) magnitude and their associated relative energies. The second part is the study of PPG wave fluctuations or glycemic variability (GV) i.e., maximum PPG value minus minimum PPG value, of PPG fluctuations and their associated relative energy. At first, the author utilizes wave theory to study the mean values of PPG waves, which is the Y-amplitude of a curve in a time domain (TD). He then applies signal processing techniques and Fast Fourier Transform (FFT) operation to convert these PPG wave data of TD into a frequency domain (FD). In his previous research, he has proven that the Y-axis magnitude (Y-amplitude) of FD is directly proportional to the level of relative energy associated with glucose amplitude value in TD that is the glucose magnitude or Y-amplitude of TD. In this way, he can then quickly estimate the relative energy levels associated with different glucose levels in order to understand the varying degree of organ impact due to these relative energies. The relative energies are generated by glucose and carried out by red blood cells circulating in the blood vessels throughout the body

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