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Using GH-Method: Math-Physical Medicine, Fourier Transform, and Frequency Segmentation Pattern Analysis to Investigate Relative Energy Associated With Glucose
Publication year - 2020
Publication title -
advances in bioengineering and biomedical science research
Language(s) - English
Resource type - Journals
ISSN - 2640-4133
DOI - 10.33140/abbsr.03.01.08
Subject(s) - energy (signal processing) , fourier transform , segmentation , computer science , mathematics , medicine , statistics , artificial intelligence , mathematical analysis
This paper provides research findings on glucose created relativeenergy by using sensor collected glucose data from a period of 376days from 5/5/2018 to 5/15/20. The dataset is provided by the author,who uses his own type 2 diabetes metabolic conditions control, asa case study via the “math-physical medicine” approach of a nontraditional methodology in medical research.Math-physical medicine (MPM) starts with the observation of thehuman body’s physical phenomena (not biological or chemicalcharacteristics), collecting elements of the disease related data(preferring big data), utilizing applicable engineering modelingtechniques, developing appropriate mathematical equations (notjust statistical analysis), and finally predicting the direction of thedevelopment and control mechanism of the disease.

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