Context-Aware Medical Content Adaptation through Semantic Representation and Rules Evaluation

Proper coding and transmission of medical and physiological data is a crucial issue for the effective deployment and performance of telemedicine services. The paper presents a platform for performing proper medical content adaptation based on context awareness. Sensors are used in order to determine the status of a patient being monitored through a medical network. Additional contextual information regarding the patient¿s environment (e.g., location, data transmission device and underlying network conditions, etc.) are represented through an ontological knowledge base model. Rule-based evaluation determines proper content (i.e., biosignals, medical video and audio) coding and transmission of medical data, in order to optimize the telemedicine process. The paper discusses the design of the ontological model and provides an initial assessment.