Design and Modelling of a Glucose Optical Sensor for Diabetes Monitoring
Keywords:
Blood glucose measurement, Diabetes monitoring, NIR sensor, Non-invasiveAbstract
The prevalence of diabetes world- wide necessitates frequent monitoring of blood glucose levels for appropriate insulin dosing and risk management. Current techniques involve invasive finger pricking with lancing devices, which can be painful and may result in infections. This study proposes a non-invasive approach using near-infrared (NIR) LED light to illuminate a glucose solution that mimics blood and the transmitted photons are further processed to obtain glucose levels. The impact of glucose concentration on NIR sensor output voltage was examined across varying concentrations, and a glucose sensor circuit was simulated using LTspice software to test efficacy across a range of concentrations. The proposed study demonstrated the feasibility of using NIR LED light and the associated sensor circuit to monitor glucose concentrations non-invasively. The findings indicated that higher glucose concentrations resulted in lower sensor output voltages. The regression analysis allowed for the development of a mathematical model to estimate glucose concentration based on the observed output voltage. This research offers a promising approach for the development of non-invasive glucose monitoring systems, which could greatly benefit individuals with diabetes by eliminating the need for frequent finger pricking and associated complications.
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