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dc.contributor.authorAnton, David
dc.contributor.authorBerges González, Idoia
dc.contributor.authorBermúdez de Andrés, Jesús ORCID
dc.contributor.authorGoñi Sarriguren, Alfredo
dc.contributor.authorIllarramendi Echave, María Aránzazu ORCID
dc.date.accessioned2018-11-21T09:11:21Z
dc.date.available2018-11-21T09:11:21Z
dc.date.issued2018-05
dc.identifier.citationSensors 18(5) : (2018) // Article ID 1459es_ES
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/10810/29725
dc.description.abstractTelerehabilitation systems that support physical therapy sessions anywhere can help save healthcare costs while also improving the quality of life of the users that need rehabilitation. The main contribution of this paper is to present, as a whole, all the features supported by the innovative Kinect-based Telerehabilitation System (KiReS). In addition to the functionalities provided by current systems, it handles two new ones that could be incorporated into them, in order to give a step forward towards a new generation of telerehabilitation systems. The knowledge extraction functionality handles knowledge about the physical therapy record of patients and treatment protocols described in an ontology, named TRHONT, to select the adequate exercises for the rehabilitation of patients. The teleimmersion functionality provides a convenient, effective and user-friendly experience when performing the telerehabilitation, through a two-way real-time multimedia communication. The ontology contains about 2300 classes and 100 properties, and the system allows a reliable transmission of Kinect video depth, audio and skeleton data, being able to adapt to various network conditions. Moreover, the system has been tested with patients who suffered from shoulder disorders or total hip replacement.es_ES
dc.description.sponsorshipThis research was funded by the Spanish Ministry of Economy and Competitiveness grant number FEDER/TIN2016-78011-C4-2R.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.relationinfo:eu-repo/grantAgreement/MINECO/TIN2016-78011-C4-2Res_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjecttelerehabilitationes_ES
dc.subjectvirtual therapyes_ES
dc.subjectKinectes_ES
dc.subjecteHealthes_ES
dc.subjecttelemedicinees_ES
dc.subjectkinect-based telerehabilitationes_ES
dc.subjectvirtual-realityes_ES
dc.subjectupper-limbes_ES
dc.subjectrehabilitation systemes_ES
dc.subjectmotion trackinges_ES
dc.subjectstrokees_ES
dc.subjectcommunicationes_ES
dc.subjectinterventiones_ES
dc.subjecttechnologieses_ES
dc.subjectframeworkes_ES
dc.titleA Telerehabilitation System for the Selection, Evaluation and Remote Management of Therapieses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).es_ES
dc.rights.holderAtribución 3.0 España*
dc.relation.publisherversionhttps://www.mdpi.com/1424-8220/18/5/1459es_ES
dc.identifier.doi10.3390/s18051459
dc.departamentoesLenguajes y sistemas informáticoses_ES
dc.departamentoeuHizkuntza eta sistema informatikoakes_ES


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2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access
article distributed under the terms and conditions of the Creative Commons Attribution
(CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's license is described as 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).