Introducing context-awareness and adaptation in telemedicine systems

Doukas, C; Maglogiannis, I; Karpouzis, K

dc.contributor.author	Doukas, C	en
dc.contributor.author	Maglogiannis, I	en
dc.contributor.author	Karpouzis, K	en
dc.date.accessioned	2014-03-01T01:33:39Z
dc.date.available	2014-03-01T01:33:39Z
dc.date.issued	2010	en
dc.identifier.issn	1860949X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/20517
dc.subject	Audio Coding	en
dc.subject	Content Adaptation	en
dc.subject	Context Aware	en
dc.subject	Contextual Information	en
dc.subject	Data Transmission	en
dc.subject	Knowledge Base	en
dc.subject	Rule Based	en
dc.title	Introducing context-awareness and adaptation in telemedicine systems	en
heal.type	journalArticle	en
heal.identifier.primary	10.1007/978-3-642-11684-1_10	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-642-11684-1_10	en
heal.publicationDate	2010	en
heal.abstract	Proper coding and transmission of medical and physiological data is a crucial issue for the effective deployment and performance of telemedicine services. This chapter 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.) is 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. © 2010 Springer-Verlag Berlin Heidelberg.	en
heal.journalName	Studies in Computational Intelligence	en
dc.identifier.doi	10.1007/978-3-642-11684-1_10	en
dc.identifier.volume	279	en
dc.identifier.spage	163	en
dc.identifier.epage	185	en