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Self-Organized Maps for the Analysis of the Biomechanical Response of the Knee Joint During Squat-Like Movements in Subjects Without Physical Conditioning

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dc.creatorPlazas Molano A.C.spa
dc.creatorJaramillo Isaza, Jonnier Sebastiánspa
dc.creatorOrjuela Cañón, Alvaro Davidspa
dc.date.accessioned2020-05-26T00:04:59Z
dc.date.available2020-05-26T00:04:59Z
dc.date.created2019spa
dc.description.abstractBiomechanical analyses provide an extensive source of data that are deeply explored by physicians, engineers and trainers from the mechanical and physiological point of view. This data includes kinetic and kinematic parameters that are quite useful to study human locomotion. However, most of these analyses stay on a very superficial level. Recently data and computational science expanded their coverage to new areas and new analysis tools are available. These analyses include the use of machine learning tools for data mining processes. All of these new tools open a total new level of data analysis, thus newer and deeper questions are proposed in order to provide more accurate prediction results with strict decision support. On the other hand, Squat is an exercise widely used for physical conditioning since it puts into operation various muscles at the same time of the lower and upper train. However bad squatting could drive to injuries at the back and knee level. These injuries are especially common in patients without physical conditioning. In this study, squat data is analyzed using Self-Organizing Maps (SOM) to identify possible relevant parameters from the subjects that could affect the movement performance especially at the knee joint. © 2019, Springer Nature Switzerland AG.eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1007/978-3-030-31019-6_29
dc.identifier.issn18650929
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/23739
dc.language.isoengspa
dc.publisherSpringerspa
dc.relation.citationEndPage344
dc.relation.citationStartPage335
dc.relation.citationTitleCommunications in Computer and Information Science
dc.relation.citationVolumeVol. 1052
dc.relation.ispartofCommunications in Computer and Information Science, ISSN:18650929, Vol.1052,(2019); pp. 335-344spa
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85075642368&doi=10.1007%2f978-3-030-31019-6_29&partnerID=40&md5=769de90ac2162489fbd04738625c06d0spa
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.keywordBiomechanicsspa
dc.subject.keywordConformal mappingspa
dc.subject.keywordData miningspa
dc.subject.keywordDecision support systemsspa
dc.subject.keywordDigital storagespa
dc.subject.keywordJoints (anatomy)spa
dc.subject.keywordKinematicsspa
dc.subject.keywordPhysiological modelsspa
dc.subject.keywordBiomechanical analysisspa
dc.subject.keywordBiomechanical responsespa
dc.subject.keywordComputational sciencespa
dc.subject.keywordKinematic parametersspa
dc.subject.keywordKnee biomechanicsspa
dc.subject.keywordMovement performancespa
dc.subject.keywordSelf-Organized Mapsspa
dc.subject.keywordSquatspa
dc.subject.keywordSelf organizing mapsspa
dc.subject.keywordBiomechanicsspa
dc.subject.keywordKinematicsspa
dc.subject.keywordKnee-biomechanicsspa
dc.subject.keywordSelf-Organizing Mapsspa
dc.subject.keywordSquatspa
dc.titleSelf-Organized Maps for the Analysis of the Biomechanical Response of the Knee Joint During Squat-Like Movements in Subjects Without Physical Conditioningspa
dc.typeconferenceObjecteng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaDocumento de conferenciaspa
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