A Semantic Web-of-Things Architecture for Monitoring the Risk of Bedsores

Bedsores are a common injury that mainly plagues elders and frail persons, and are a major cause of concerns in medical institutions. We present a system based on the Internet-of-Things technologies, aiming at detecting the risk of bedsores using sensor fusion. This paper mainly focuses on the software architecture of the proposed system, based on the principles of weak coupling and of semantic data exchange. We present a model of the application in terms of the Semantic Sensor Network (SSN) ontology.