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Diseño de un sistema embebido de clasificación de movimientos de los dedos de la mano, empleando electromiografía superficial en antebrazo

dc.contributor.advisorOrjuela Cañón, Alvaro David
dc.contributor.advisorPerdomo Charry, Oscar Julián
dc.creatorSanabria-Solano, Alfredo-Jose
dc.creator.degreeMagíster en Ingeniería Biomédicaes
dc.creator.degreeLevelMaestría
dc.creator.degreetypeFull timees
dc.date.accessioned2022-04-19T12:39:15Z
dc.date.available2022-04-19T12:39:15Z
dc.date.created2022-03-17
dc.descriptionLas salas de cirugía son de los ambientes en donde se aplican más protocolos de seguridad y de control, comparados incluso con ambientes como la aeronáutica (Hales et al., 2008). Uno de los protocolos de estricto control en las salas de cirugía del mundo o incluso aquí en Colombia, es el de esterilidad. Este protocolo previene las infecciones de sitio operatorio, las complicaciones posteriores a la cirugía, o las infecciones que pueden resultar en tratamientos incluso más complejos que los originales a los que se sometía el paciente, en primera instancia (Restrepo et al., 2011). Una de las fuentes de contaminación que se ha visto con mayor frecuencia se da por el uso de equipos fuera del campo quirúrgico tales como equipos de cómputo, equipos de visualización de imágenes, entre otros. Estos equipos proveen información al cirujano durante el procedimiento, información que es vital en momentos específicos para la toma de decisiones clínicas (Jimenez et al., 2017). Poder interactuar con estos equipos, desde el ambiente quirúrgico, se ha tornado en una necesidad imperativa tanto para la industria como para los equipos médicos. En la búsqueda de soluciones a esta necesidad, se ha encontrado que la electromiografía superficial combinada con la clasificación de movimientos mediante redes neuronales es una de las mejores opciones de bajo costo y facilidad de implementación (Tsuboi et al., 2017).es
dc.description.abstractSurgery rooms are one of the environments where more security and control protocols are applied, even compared to environments such as aeronautics (Hales et al., 2008). One of the protocols of strict control in the surgery rooms of the world or even here in Colombia, is that of sterility. This protocol prevents surgical site infections, post-surgery complications, or infections that can result in even more complex treatments than the original ones to which the patient underwent in the first instance (Restrepo et al., 2011). One of the most frequently seen sources of contamination is due to the use of equipment outside the surgical field, such as computer equipment, image display equipment, among others. These systems provide information to the surgeon during the procedure, information that is vital at specific times for clinical decision making (Jimenez et al., 2017). Being able to interact with these systems, from the surgical environment, has become an imperative need both for the industry and for medical teams. In the search for solutions to this need, surface electromyography combined with CNN movement clasification has been found to be one of the best low-cost and easy-to-implement options (Tsuboi et al., 2017).es
dc.format.extent62 ppes
dc.format.mimetypeapplication/pdfes
dc.identifier.doihttps://doi.org/10.48713/10336_34011
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/34011
dc.language.isospaes
dc.publisherUniversidad del Rosario
dc.publisher.departmentEscuela de Medicina y Ciencias de la Saludspa
dc.publisher.programMaestría en Ingeniería Biomédicaspa
dc.rightsAtribución-NoComercial-CompartirIgual 2.5 Colombia*
dc.rights.accesRightsinfo:eu-repo/semantics/openAccesses
dc.rights.accesoAbierto (Texto Completo)es
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dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/2.5/co/*
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dc.source.instnameinstname:Universidad del Rosario
dc.source.reponamereponame:Repositorio Institucional EdocUR
dc.subjectneural networkes
dc.subjectCNNes
dc.subjectEMGes
dc.subjectForearmes
dc.subjectred neuronales
dc.subjectantebrazoes
dc.subjectsistema embebidoes
dc.subjectelectromiografíaes
dc.subjectconvolucionales
dc.subjectMLPCes
dc.subjectPerceptron multicapaes
dc.subjectMYOes
dc.subject.ddcIncidencia & prevención de la enfermedades
dc.subject.keywordNeural Networkes
dc.subject.keywordCNNes
dc.subject.keywordEMGes
dc.subject.keywordForearmes
dc.subject.keywordEmbebed Systemes
dc.subject.keywordMLPCes
dc.subject.keywordMYOes
dc.titleDiseño de un sistema embebido de clasificación de movimientos de los dedos de la mano, empleando electromiografía superficial en antebrazoes
dc.title.TranslatedTitleDesign of an embedded system classification of the finger's movements, using surface electromyography is forearmes
dc.typemasterThesiseng
dc.type.documentTesises
dc.type.hasVersioninfo:eu-repo/semantics/acceptedVersion
dc.type.spaTesis de maestríaspa
local.department.reportEscuela de Medicina y Ciencias de la Saludspa
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