Cardiac Rehabilitation: an IoT Architecture Exploring Situation Awareness Based on Open-Source Technologies

Douglas Scheunemann, Wemerson D. Parreira, Adenauer Yamin, João Lopes, Cláudio Geyer

DOI: 10.14209/sbrt.2016.59

Evento: XXXIV Simpósio Brasileiro de Telecomunicações (SBrT2016)

Keywords: Internet of Things Situation Awareness Cardiac Rehabilitation

Abstract

The IoT is influencing how computational systems are developed, enabling new application scenarios and more intelligent user interaction. The inference and prediction of user situation is a research challenge in IoT, because a large number of sensors information need to be collected and processed to implement those features. To handle this scenario, middleware systems are generally applied. This paper presents a view of EXEHDA, a middleware conceived to support the execution of IoT situation-aware applications. Particularly, we highlight an ar- chitecture integrated to EXEHDA middleware, named EXEHDA- HP, created for supporting hybrid processing of context data, aiming at detection of situations. To evaluate the architecture was carried out a case study in health area, focusing on cardiac rehabilitation. To prototyping the EXEHDA-HP were employed widely available and open-source technologies, potentializing the use of the architecture in different segments of society.

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