Non-invasive Glucose Monitoring with Fuzzy Severity Analysis for Personalized Diabetic Control

Diabetes, an exceedingly prevalent chronic disease experienced in virtually all nations globally, has been a subject of great concern. Quantifying glucose levels in the bloodstream, which has traditionally been done through an invasive approach, has been a difficult, expensive, and risky process with the potential to propagate infectious diseases. Furthermore, the long-term consequences of such an invasive procedure are undeniably harmful, resulting in the deterioration of finger tissues. Consequently, it becomes imperative to explore viable alternatives, such as the non-invasive method, which not only facilitates frequent testing but also assuages the pain and discomfort typically associated with the constant pricking of one's finger. Thus, a non-invasive technique for measuring glucose levels is presented in our paper. The intensity difference of NIR light obtained by the photodetector subsequent to going through the finger is utilized to work out blood glucose levels. By leveraging this NIR spectroscopy methodology, it becomes feasible to ascertain the glucose levels in the bloodstream, subsequently employing the obtained data as an input for the fuzzy interpreter engine, thereby facilitating the determination of the severity of diabetes.