A context-aware telemedicine platform for monitoring patients in remote areas

Doukas, C; Maglogiannis, I; Anagnostopoulos, I; Perakis, K

dc.contributor.author	Doukas, C	en
dc.contributor.author	Maglogiannis, I	en
dc.contributor.author	Anagnostopoulos, I	en
dc.contributor.author	Perakis, K	en
dc.date.accessioned	2014-03-01T01:56:16Z
dc.date.available	2014-03-01T01:56:16Z
dc.date.issued	2007	en
dc.identifier.issn	1479649X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/28028
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-34547864612&partnerID=40&md5=6959b5486573206adb06caa8f2380765	en
dc.subject.other	article	en
dc.subject.other	chronic disease	en
dc.subject.other	early diagnosis	en
dc.subject.other	emergency medicine	en
dc.subject.other	health center	en
dc.subject.other	health service	en
dc.subject.other	human	en
dc.subject.other	information processing	en
dc.subject.other	information retrieval	en
dc.subject.other	medical information system	en
dc.subject.other	medical service	en
dc.subject.other	patient monitoring	en
dc.subject.other	teleconsultation	en
dc.subject.other	telemedicine	en
dc.subject.other	telemonitoring	en
dc.title	A context-aware telemedicine platform for monitoring patients in remote areas	en
heal.type	journalArticle	en
heal.publicationDate	2007	en
heal.abstract	Continuous monitoring of patients with chronic diseases can enable early detection of deterioration and initiation of appropriate measures. This may be particularly important for patients who live in remotes areas as emergency medical services may take a long time to reach them. However continuously sending monitored biosignals to a healthcare centre is not practcal as it places a high data load on a network. It is also not feasible for a healthcare professional to continuously monitor the data of several patients with chronic illnesses. In this paper we propose a context sensitive platform that sends data only when the biosignals move outside a specified range and which optimises data transmission by taking into account the network environment and the patient status. The framework architecture is open and does not depend on the monitoring applications used, the underlying networks, or the telemedicine system used. The system also incorporates additional functionalities such as obtaining second opinions through peer to peer communication. This paper describes the architecture together with a prototype evaluation. © The Journal on Information Technology in Healthcare.	en
heal.journalName	Journal on Information Technology in Healthcare	en
dc.identifier.volume	5	en
dc.identifier.issue	4	en
dc.identifier.spage	255	en
dc.identifier.epage	262	en