Open AccessUsing Candlestick Charting and GH-Method: Math-Physical Medicine to Investigate the Differences of Glucose Measurement Results Based on both Finger-Piercing Method and Continuous Monitoring Device
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.03.02.05
Subject(s) - analytics , segmentation , big data , artificial intelligence , computer science , industrial engineering , data science , data mining , engineering
The author developed his GH-Method: math-physical medicine (MPM) by applying mathematics, physics, engineering modeling,and computer science such as big data analytics and artificial intelligence to derive the mathematical metabolism model andthree prediction tools for weight, FPG, and PPG with >30 input elements. This research paper describes glucose measurementresults based on the finger-piercing method and continuous glucose monitor device using candlestick charting and segmentationanalysis.