Using fuzzy logic reasoning for monitoring hypoglycaemia in diabetic patients

Non-invasive monitoring and detecting hypoglycaemia in diabetic patients requires simultaneous measurements of body functions such as sweating, snoring, recording EEG and heart rate. There are numerous factors that can affect the parameters being measured, e.g., environmental conditions, stress of patients, behavioural changes, duration of test etc. Therefore a physician is required to make a collective decision from the information in hand from these parameters to determine the state of the diabetic patient. This paper describes the design of a microcontroller based fuzzy logic controller which uses fuzzy reasoning method to monitor and help to detect hypoglycaemia in diabetic patients