A Telerehabilitation System for the Selection, Evaluation and Remote Management of Therapies
Telerehabilitation 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...
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doaj-b3dffa3104684613885ceb68d8553bc42020-11-25T00:47:45ZengMDPI AGSensors1424-82202018-05-01185145910.3390/s18051459s18051459A Telerehabilitation System for the Selection, Evaluation and Remote Management of TherapiesDavid Anton0Idoia Berges1Jesús Bermúdez2Alfredo Goñi3Arantza Illarramendi4Department of Electrical Engineering & Computer Sciences, University of California, Berkeley, CA 94720, USADepartment of Languages and Information Systems, University of the Basque Country UPV/EHU, 20018 Donostia-San Sebastián, SpainDepartment of Languages and Information Systems, University of the Basque Country UPV/EHU, 20018 Donostia-San Sebastián, SpainDepartment of Languages and Information Systems, University of the Basque Country UPV/EHU, 20018 Donostia-San Sebastián, SpainDepartment of Languages and Information Systems, University of the Basque Country UPV/EHU, 20018 Donostia-San Sebastián, SpainTelerehabilitation 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.http://www.mdpi.com/1424-8220/18/5/1459telerehabilitationvirtual therapyKinecteHealthtelemedicine |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
David Anton Idoia Berges Jesús Bermúdez Alfredo Goñi Arantza Illarramendi |
spellingShingle |
David Anton Idoia Berges Jesús Bermúdez Alfredo Goñi Arantza Illarramendi A Telerehabilitation System for the Selection, Evaluation and Remote Management of Therapies Sensors telerehabilitation virtual therapy Kinect eHealth telemedicine |
author_facet |
David Anton Idoia Berges Jesús Bermúdez Alfredo Goñi Arantza Illarramendi |
author_sort |
David Anton |
title |
A Telerehabilitation System for the Selection, Evaluation and Remote Management of Therapies |
title_short |
A Telerehabilitation System for the Selection, Evaluation and Remote Management of Therapies |
title_full |
A Telerehabilitation System for the Selection, Evaluation and Remote Management of Therapies |
title_fullStr |
A Telerehabilitation System for the Selection, Evaluation and Remote Management of Therapies |
title_full_unstemmed |
A Telerehabilitation System for the Selection, Evaluation and Remote Management of Therapies |
title_sort |
telerehabilitation system for the selection, evaluation and remote management of therapies |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2018-05-01 |
description |
Telerehabilitation 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. |
topic |
telerehabilitation virtual therapy Kinect eHealth telemedicine |
url |
http://www.mdpi.com/1424-8220/18/5/1459 |
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