Toward a Context-Aware Service and Quality Multimedia Adaptation for Healthcare Application

In the healthcare domain, the quality management of urgent situations is very important. Currently, these situations are accessible on a wide variety of embedded sensors. The heterogeneity of such sensors and the diversity of user needs require management quality of service and adaptation to different critical situations (e.g. diabetic coma). In some previous publications, we have proposed a semantic generic metamodel for specifying rich contexts containing explicit constraints expressions with qualitative and quantitative information. In this paper we improve our previous proposal by using fuzzy-based technique for the identification of urgent situations that takes into account both quantitative and qualitative parameters. Extensive simulations of some well known diabetes case studies embedding our technique, improve empirically the benefits of our approach