An IoMT Based Non-Invasive Precise Blood Glucose Measurement System

The paper represents IoMT based non-invasive precise blood glucose measurement system based on optical detection along with optimized regression model. A system for performing the light absorbance at 940 nm wavelength with prediction model is designed and the technique is validated through measurements using human fingertip. In this work, optimized computation method is analyzed to obtain the blood glucose concentration values from each sample. For system validation, the obtained glucose concentrations are compared with referenced blood glucose concentrations using SD-check one touch glucometer. This represent the mean absolute difference (MAD), mean absolute relative difference (MARD), average error (AvgE) and RMSE 5.82 mg/dl, 5.20%, 5.14% and 7.50 mg/dl respectively. Tested samples are taken for a Clarke Error Grid analysis. All samples are found over zones A and B. This result of performance is an improvement over those determined previously using techniques for non-invasive blood glucose measurement systems.

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