Diabetes mellitus requires regular blood glucose monitoring, while conventional glucometers generally rely on invasive finger-prick procedures. This study developed an Arduino-based non-invasive blood glucose estimation system using a BPW34 photodiode and a green LED. The system acquired optical signals, processed ADC values, and estimated glucose concentration using linear regression. Experimental measurements were compared with a standard invasive glucometer. The results showed a positive linear relationship between ADC values and glucose concentration, with measurement errors ranging from 0% to 2.13%. The findings demonstrate the preliminary feasibility of the proposed system for portable non-invasive glucose estimation.
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