dc.contributorEndo, Wagner
dc.contributorEndo, Wagner
dc.contributorAgulhari, Cristiano Marcos
dc.contributorScalassara, Paulo Rogério
dc.creatorKizaki, Alex Eiji
dc.date.accessioned2022-02-23T00:43:00Z
dc.date.accessioned2022-12-06T15:08:51Z
dc.date.available2022-02-23T00:43:00Z
dc.date.available2022-12-06T15:08:51Z
dc.date.created2022-02-23T00:43:00Z
dc.date.issued2018-11-23
dc.identifierKIZAKI, Alex Eiji. Análise e processamento de sinais do eletromiograma utilizando software de simulação. 2018. Trabalho de Conclusão de Curso (Bacharelado em Engenharia Elétrica) - Universidade Tecnológica Federal do Paraná, Cornélio Procópio, 2018.
dc.identifierhttp://repositorio.utfpr.edu.br/jspui/handle/1/27365
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5261485
dc.description.abstractThis paper focuses on the processing and analysis of electromyographic signals. The EMGLab software, used for the paper’s development, has an automatic signal decomposition algorithm known as The Montreal Decomposition Algorithm. The algorithm is capable of identifying the action potentials of motor units through the application of filtering and pattern identification techniques. Allowing to perform a complete reading of the signal to be analyzed, extracting the actions of the neuromotors responsible for the muscular activity performed. Thus, by applying the automatic decomposition of electromyographic signals under different conditions, it is possible to perform a data analysis in order to obtain the relation between the neural firing rate and the intensity of the voluntary muscular contractions.
dc.publisherUniversidade Tecnológica Federal do Paraná
dc.publisherCornelio Procopio
dc.publisherBrasil
dc.publisherEngenharia Elétrica
dc.publisherUTFPR
dc.rightsopenAccess
dc.subjectEletromiografia
dc.subjectContração muscular
dc.subjectSimulação (Computadores digitais)
dc.subjectElectromyography
dc.subjectMuscle contraction
dc.subjectDigital computer simulation
dc.titleAnálise e processamento de sinais do eletromiograma utilizando software de simulação
dc.typebachelorThesis


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