GR-493 Advancing Non-Invasive Glucose Monitoring through Integrated Physical Factors and Wavelength Optimization

GR-493 Advancing Non-Invasive Glucose Monitoring through Integrated Physical Factors and Wavelength Optimization

https://ccse.kennesaw.edu/computing-showcase/cday-programs/fall23program.php

This work examines the effects of physical factors like skin tone, temperature, thickness, and humidity on the performance of GlucoCheck, a non-invasive glucose monitoring device using IR technology. It delves into how these variables influence light absorption and scattering in the skin, affecting IR image quality in GlucoCheck. The research addresses how skin humidity alters transmittance, and skin temperature and color diversely impact light absorption. These findings underscore the importance of considering these variables to improve glucose level predictions. We propose a data collection strategy using advanced sensors for real-time acquisition of these factors, integrating them into the algorithm for enhanced device accuracy. This strategy seeks to boost GlucoCheck’s reliability, contributing to personalized, adaptive healthcare innovations.

https://digitalcommons.kennesaw.edu/cday/2023fall/Graduate_Research/14