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Evaluation of computer vision based objective measures for complementary balance function description and assessment in multiple sclerosis

dc.creatorSosa G.D.spa
dc.creatorSánchez J.spa
dc.creatorBermúdez X.spa
dc.creatorRamírez A.spa
dc.creatorFranco H.spa
dc.date.accessioned2020-05-26T00:10:48Z
dc.date.available2020-05-26T00:10:48Z
dc.date.created2017spa
dc.description.abstractMultiple Sclerosis is a neurodegenerative– autoimmune disorder caused by a demyelination process of the axonal tracts within the Central Nervous System. This condition will increasingly affect cognitive, perceptual, motor and even vital life functions at different rates. Sensorimotor impairments have an increasing impact in the patient functionality, altering basic abilities e.g. static and dynamic equilibrium, whose preservation is an important therapeutic goal. The assessment of the state and progression of the associated disabilities is a relevant issue in the election and adjustment of a rehabilitation pathway. This work presents an exploratory study on the use of angular kinematic variables as objective descriptors for Multiple Sclerosis diagnostic support, comparing its behavior against the score values for a subset of five equilibrium tests within the Berg Balance Scale. These values were estimated using a computer vision-based framework integrating data from a Kinect sensor and the NiTE skeleton model. This version of the framework provides angular measures for mediolateral and anteroposterior balance. To evaluate this quantitative approach, a sample of six patients with diagnosis of Multiple Sclerosis, and able to maintain the standing position, performed all five balance tests while both mediolateral and anteroposterior angles were registered along each of them and compare its behaviour against the corresponding evaluation using the standard Berg Balance Scale scores assigned by a physiotherapist. © Springer Nature Singapore Pte Ltd. 2017.eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1007/978-981-10-4086-3_95
dc.identifier.issn2006
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/24260
dc.language.isoengspa
dc.publisherSpringer Verlagspa
dc.relation.citationEndPage380
dc.relation.citationStartPage377
dc.relation.citationTitleIFMBE Proceedings
dc.relation.citationVolumeVol. 60
dc.relation.ispartofIFMBE Proceedings, ISSN:2006, Vol.60,(2017); pp. 377-380spa
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85018406445&doi=10.1007%2f978-981-10-4086-3_95&partnerID=40&md5=339a8d931c18f03f3864503657fd6dffspa
dc.rights.accesRightsinfo:eu-repo/semantics/openAccess
dc.rights.accesoAbierto (Texto Completo)spa
dc.source.instnameinstname:Universidad del Rosariospa
dc.source.reponamereponame:Repositorio Institucional EdocURspa
dc.subject.keywordBiomedical engineeringspa
dc.subject.keywordDiagnosisspa
dc.subject.keywordFunction evaluationspa
dc.subject.keywordNeurodegenerative diseasesspa
dc.subject.keywordPatient rehabilitationspa
dc.subject.keywordAutoimmune disorderspa
dc.subject.keywordBerg balance scalespa
dc.subject.keywordCentral nervous systemsspa
dc.subject.keywordDynamic equilibriaspa
dc.subject.keywordExploratory studiesspa
dc.subject.keywordKinematic variablesspa
dc.subject.keywordMultiple sclerosisspa
dc.subject.keywordQuantitative approachspa
dc.subject.keywordComputer visionspa
dc.titleEvaluation of computer vision based objective measures for complementary balance function description and assessment in multiple sclerosisspa
dc.typeconferenceObjecteng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaDocumento de conferenciaspa
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