Using the First-Order Perturbation Equation from Quantum Mechanics to Predict the Postprandial Plasma Glucose Data and Waveforms for Solid and Liquid Egg Meals from a Neuro-Scientific Viewpoint Based on GH-Method: Math-Physical Medicine (No. 470)

Abstract

Gerald C Hsu

The author has applied the first-order interpolation perturbation equation from quantum mechanics in his medical research work, which he has written numerous articles on this topic. This equation is the simplest application using one selected “perturbation factor” to generate perturbed results with high prediction accuracy. He investigates this type of problem using a chosen pperturbation factor such as carbs/sugar for postprandial plasma glucose (PPG), body weight for fasting plasma glucose (FPG), or metabolism index (MI) in predicting a stroke or heart attack along with achieving longevity in the geriatric research area. In this particular article, he uses carbs/sugar amount of one large egg as the perturbation factor to predict his perturbed PPG results. The mixed egg meals include the solid and liquid egg data based on two measured PPG waveforms using solid and liquid egg meals, separately. The two types of egg meals provide different PPG values and distinctive waveforms despite having identical food ingredients with the same 3 grams of carbs/sugar amount from one large egg. For example, the solid egg meal has higher PPG values than the liquid egg meal with a difference of 23 mg/dL for the peak PPG and 18 mg/dL for the average PPG. In his published neuroscience papers, he described the remarkable physical phenomenon from a neuro-scientific viewpoint.

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