A Case Study of three Equal-Length Time Periods Applying Wave Theory, Energy Theory, Fourier Transform, and Linear Elastic Glucose Theory to Estimate Risk Probability of having a Cardiovascular Disease or Stroke and Achieving Longevity Based on GH-Method: Math-Physical Medicine, Part 25 (No. 414)

Abstract

Gerald C Hsu

Based on the research note, No. 413, using two distinctive periods for the pre-virus vs. virus with 417 days each, the author uses his medical research methodology once again for three distinctive periods with equal length of 77 days. This paper describes his research method of analyzing glucose waves and glucose fluctuations in a time domain (TD), applying Fourier transform operation to convert TD waves into a frequency domain (FD), estimating the relative energy associated with both glucose value and glucose fluctuation, and then combining these derived information with his developed metabolism model using engineering finite element technique. As a result, this combined inputs can determine the impact of different relative energy levels on various internal organs in the human body to obtain a realistic estimation for the risk probability of having cardiovascular disease (CVD), stroke, kidney disease, insulin resistance from pancreatic beta cells, and also provide an expected health age versus real biological age (a longevity issue in the geriatrics branch). The entire analysis process and research methodologies are based on mathematics, physics, and engineering as outlined in his developed GH-Method: math-physical medicine (MPM References 1 through 3). This paper provides a detailed explanation at each key step of analysis with the appropriate research method, using his collected personal biomedical data as a clinical case study for the illustration of the MPM research method.

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