An internet of things–based personal device for di

Authors: Antonio J Jara Miguel A Zamora Antonio F G Skarmeta

Publish Date: 2011/01/18

Volume: 15, Issue: 4, Pages: 431-440

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Abstract

Diabetes therapy management in AAL environments such as old people and diabetes patients homes is a very difficult task since many factors affect a patient’s blood sugar levels Factors such as illness treatments physical and psychological stress physical activity drugs intravenous fluids and change in the meal plan cause unpredictable and potentially dangerous fluctuations in blood sugar levels Right now operations related to dosage are based on insulin infusion protocol boards which are provided by physicians to the patients These boards are not considering very influential factors such as glycemic index from the diet consequently patients need to estimate the dosage leading to dose error which culminates in hyperglycemia and hypoglycemia episode Therefore right insulin infusion calculation needs to be supported by the next generation of personalcare devices For this reason a personal device has been developed to assist and consider more factors in the insulin therapy dosage calculation The proposed solution is based on Internet of things in order to on the one hand support a patient’s profile management architecture based on personal RFID cards and on the other hand provide global connectivity between the developed patient’s personal device based on 6LoWPAN nurses/physicians desktop application to manage personal health cards glycemic index information system and patient’s web portal This solution has been evaluated by a multidisciplinary group formed by patients physicians and nursesThe authors would like to thank the Spanish ministry for Industry Tourism and infrastructure and the ministry for education social politic and sport for sponsoring the research activities under the grants AIRE TSI020302201095 and FPU program AP20093981 This work has been carried out by the Intelligent Systems group of the University of Murcia awarded as an excellence researching group in frames of the Spanish “Plan de Ciencia y Tecnología de la Región de Murcia” from the “Fundación Séneca” 04552/GERM/06 Finally thanks to the volunteers who evaluated this solution nurses and physicians Noemí Alcazar Fermín Alcolea José Javier Campuzano and María Jesús Carrillo and to the patients José García and Belinda Herrero

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