Hypoglycaemia detection using fuzzy inference system with intelligent optimiser
Hypoglycaemia (low blood glucose level) is a common and serious side effect of insulin therapy for patients with diabetes. In this paper, a fuzzy inference system (FIS) is developed to recognise hypoglycaemic episodes. The FIS captures the relationship between heart rate, electrocardiogram and hypoglycaemic episodes to perform classification. An intelligent optimiser is introduced to perform turning of the FIS.
hypoglycaemia fuzzy inference system differential evolution multi-objective optimisation