Round-the-clock urine sugar monitoring system for diabetic patients

Abstract

A fuzzy logic based image processing application has been developed here which noninvasively measures the blood sugar level of a person from his /her urine by noting the colour change in its reaction with Benedicts reagent and displays the result so that apart from the patient, others also get informed. This system helps a diabetic patient to regularly monitor and control his/her blood sugar level by taking appropriate dose of medicine and /or controlling diet. The measurement accuracy of the method is 96.93%.