Abstract

The author is an engineer who has conducted medical research work over the past 13 years in the fields of endocrinology, metabolic disorder-induced chronic diseases (especially diabetes), and their resulting various medical complications. Thus far, he has written and published nearly 700 research papers in various medical journals using math-physical medicine methodology (MPM). In December 2021, Professor Norman Jones, the author’s adviser at MIT, suggested the utilization of the viscoelastic/plastic method from physics and engineering to conduct his medical research work. Since then, beginning with Paper No. 578 dated 1/8/2022, he has written 90+ medical papers, including 4 economic papers, using the VGT research tools. These papers aim to explore some hidden physical behaviors and provide a deeper understanding and a better quantitative description of the inter-relationships of a selected output (symptom) versus singular input or multiple inputs (root causes, risk factors, or influential factors). In the field of medical research, the hidden biophysical behaviors and possible inter-relationships exist among lifestyle details, medical conditions, chronic diseases including obesity, diabetes, hypertension, hyperlipid- emia, and induced medical complications, such as heart attacks, stroke, kidney failure, cancers, dementia, and even longevity concerns. In the past 13 years of his medical research work, he has noticed that most medical subjects with their associated data, symptoms, and causes are highly “time-dependent” which means that all biomedical variables change from time to time because body living cells are dynamically changing. Recently, he realized that the VGT theory should not be limited to engineering applications only. Its ability to link certain time-dependent variables and their physical characteristics and associated energy estimation via the hysteresis loop area are equally powerful for applications in medicine as well as many other fields of knowledge, e.g. economics, psychology, and social science. Of course, one of the major challenges of VGT analysis is related to data mining and selection. The author would like to describe the essence of a “hybrid model” that combines the space-domain (SD) viscoelastic /plastic VGT analysis method and the frequency-domain (FD) fast Fourier transform (FFT) analysis method described in 9 steps instead of mathematical equations. This is for readers who do not have an extensive academic background in those subjects of engineering, physics & mathematics - several excerpts from Wikipedia are included in the Method section of this full-text article.

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