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dc.contributor.advisorPérez, Vera Z.
dc.contributor.advisorBetancur, Manuel J.
dc.contributor.authorYepes, Juan C.
dc.coverage.spatialSeccional Medellín. Escuela de Ingenierías. Maestría en Ingenieríases_CO
dc.date.accessioned2018-11-30T17:17:51Z
dc.date.available2018-11-30T17:17:51Z
dc.date.issued2018
dc.identifier.urihttp://hdl.handle.net/20.500.11912/4193
dc.description100 páginases_CO
dc.description.abstractThe knee is the most complex and largest joint in the human body, and it depends on four primary ligaments. One of the main ligaments is the Anterior Cruciate Ligament (ACL). A direct blow to the knee is one of the ways to injure the ACL, for example during football or a traffic accident. Nevertheless, most ACL injuries happen even without any contact with another object. There are many traditional methods and devices to assist treatment. Nevertheless, robot-assisted therapy (RAT) rehabilitation, simulating normal walking to examine the effects of long-term interventions on functional activity levels after ACL reconstruction, improves the walking ability, the balance ability, and the extensor strength after ACL reconstruction. However, ACL injuries require various rehabilitation phases. Therefore, there is the need to perform RAT or mechatronic-assisted rehabilitation of ACL Injuries during other phases of the rehabilitation before attempting an advanced exercise such as walking, e.g., when the subject tries to make a knee movement and is not able to execute it, due to the pain caused by the injury. In this rehabilitation phase, an active-assisted rehabilitation exercise must be conducted. The specific problem addressed in this thesis is to detect the motion intention and control a mechatronic rehabilitation system to assist the knee movement, i.e., such as in active-assisted extension exercises but using an exoskeleton.es_CO
dc.formatapplication/pdfes_CO
dc.language.isoenges_CO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceinstname:Universidad Pontificia Bolivarianaes_CO
dc.sourcereponame:Repositorio Institucional de la Universidad Pontificia Bolivarianaes_CO
dc.subjectRobótica -- Aplicacioneses_CO
dc.subjectProcesamiento de señales biomédicases_CO
dc.subjectSeñales biomédicases_CO
dc.subjectElectromiografíaes_CO
dc.subjectLigamento Cruzado Anterior -- Lesiones -- Rehabilitaciónes_CO
dc.subjectLigamento Cruzado Anterior -- Lesiones -- Terapiaes_CO
dc.subjectIngeniería biomédicaes_CO
dc.subjectTerapia asistida por computadores_CO
dc.subjectMecatrónicaes_CO
dc.subjectNukawa (Proyecto de investigación)es_CO
dc.titleSurface electomyography signal processing algorithm and movement control algorithm fo mechatronic-assisted rehabilition of anterior cruciate ligament injurieses_CO
dc.typemasterThesises_CO
dc.creator.degreeMagister en Ingenieríases_CO
dc.publisher.departmentEscuela de Ingenieríases_CO
dc.publisher.programMaestría en Ingenieríases_CO
dc.rights.accessRightsopenAccesses_CO
dc.type.hasVersiondraftes_CO
dc.description.sectionalMedellínes_CO


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Attribution-NonCommercial-NoDerivatives 4.0 International
Excepto si se señala otra cosa, la licencia del ítem se describe como Attribution-NonCommercial-NoDerivatives 4.0 International