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Smartweb-based platform to support physical rehabilitation

2018-05-01Artigo científico Acesso aberto
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dc.contributor.authorRybarczyk, Yves
dc.contributor.authorDeters, Jan Kleine
dc.contributor.authorCointe, Clément
dc.contributor.authorEsparza, Danilo
dc.contributor.institutionUNINOVA-Instituto de Desenvolvimento de Novas Tecnologias
dc.contributor.institutionCTS - Centro de Tecnologia e Sistemas
dc.contributor.pblMDPI - Multidisciplinary Digital Publishing Institute
dc.date.accessioned2019-02-05T23:40:11Z
dc.date.available2019-02-05T23:40:11Z
dc.date.issued2018-05-01
dc.descriptionThis research was funded by CEDIA (Corporación Ecuatoriana para el Desarrollo de la Investigación y la Academia), grant number CEPRA XI-2017-15.
dc.description.abstractThe enhancement of ubiquitous and pervasive computing brings new perspectives in medical rehabilitation. In that sense, the present study proposes a smart, web-based platform to promote the reeducation of patients after hip replacement surgery. This project focuses on two fundamental aspects in the development of a suitable tele-rehabilitation application, which are: (i) being based on an affordable technology, and (ii) providing the patients with a real-time assessment of the correctness of their movements. A probabilistic approach based on the development and training of ten Hidden Markov Models (HMMs) is used to discriminate in real time the main faults in the execution of the therapeutic exercises. Two experiments are designed to evaluate the precision of the algorithm for classifying movements performed in the laboratory and clinical settings, respectively. A comparative analysis of the data shows that the models are as reliable as the physiotherapists to discriminate and identify the motion errors. The results are discussed in terms of the required setup for a successful application in the field and further implementations to improve the accuracy and usability of the system.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent4522062
dc.identifier.doi10.3390/s18051344
dc.identifier.issn1424-8220
dc.identifier.otherPURE: 4155964
dc.identifier.otherPURE UUID: 15825919-a3e1-4aad-a45d-17603a04e466
dc.identifier.otherScopus: 85046138603
dc.identifier.otherWOS: 000435580300043
dc.identifier.otherPubMed: 29701690
dc.identifier.otherPubMedCentral: PMC5982640
dc.identifier.urihttp://www.scopus.com/inward/record.url?scp=85046138603&partnerID=8YFLogxK
dc.identifier.urlhttps://www.scopus.com/pages/publications/85046138603
dc.language.isoeng
dc.peerreviewedyes
dc.subjectHidden markov model
dc.subjectMotion assessment
dc.subjectMotor rehabilitation
dc.subjectNatural user interface
dc.subjectTelemedicine
dc.subjectAnalytical Chemistry
dc.subjectAtomic and Molecular Physics, and Optics
dc.subjectBiochemistry
dc.subjectInstrumentation
dc.subjectElectrical and Electronic Engineering
dc.titleSmartweb-based platform to support physical rehabilitationen
dc.typejournal article
degois.publication.issue5
degois.publication.titleSensors
degois.publication.volume18
dspace.entity.typePublication
rcaap.rightsopenAccess

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