SIM2PeD– Intelligent monitoring system for prevention of diabetic foot

Abstract

Diabetes is an endocrine chronic disease that causes high blood sugar level, produced by retardation in, or deficiency of, glucose metabolism in the body of the individual with the disease. Neuropathies and/or angiopathies are complications of diabetes that result in changes in the lower limbs which subsequently evolve for the diabetic foot. Diabetic foot represents one of the most devastating complications of diabetes and can lead to ulcerations, amputations and even death. Based on these, the aim of this work was to develop an Intelligent System for Monitoring the Prevention of Diabetic Foot (SIM2PeD), allowing personalized care from each individual routine. The work consists of a platform integrated with a mobile device to capture individuals’ data, entitled Mobile SIM2PeD, and a web device for monitoring the medical patient, titled Web SIM2PeD. Individuals receive alerts regarding care according to their location and activity directly from their smartphones. After capturing, the information is passed to the expert system (Intelligent module) that generates recommendations from the answers. The developed system presents a model of alerts as the best architecture, to the detriment of the pictogram model. The data captured show that slight displacements in frequency caused large variations of answers delivered to the application. The various experiments conducted made the system performed to be specified, and suitable for the remote monitoring of self-care activities in patients with diabetic foot.

Keywords: Intelligent module, diabetes, application, diabetic foot