Um modelo para gerenciamento de históricos de contextos fisiológicos

Abstract

With the popularization in wearables market, or wearable devices, the mobile and ubiquitous computing is becoming present in areas such as education, commerce and entertainment. In healthcare these devices have an important role, as have sensors for capturing physiological signals, such as measuring the body temperature and heart rate of the user. In many cases there´s no standardization or communication between different Ubiquitous care systems that manage the physiological user data. This work presents a proposal for historical contexts of physiological management through a model called GECONFI. The model supports data collection through applications that use devices and monitoring sensors, defines an ontology for the domain of physiological contexts. This work presents the use of three integrated applications to GECONFI, that allowed evaluate and test the services provided by the model. The first application called SiCuide was applied with thirteen patients and a nurse, who showed positive opinions regarding its usefulness for physiological monitoring of users. The other two systems called FitBurn and Heart-Control were applied in a scenario based on sensitivity to context allowing shared access to the same track. The results showed the feasibility for other systems to perform the administration of contextual historical generically through the proposed model.