Detalhes bibliográficos
| Ano de defesa: |
2013 |
| Autor(a) principal: |
Souza, Gustavo Souto de Sá e
 |
| Orientador(a): |
Vieira, Marcus Fraga
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| Banca de defesa: |
Vieira, Marcus Fraga,
Fleury, Cláudio Afonso,
Oliveira, Ademyr Gonçalves de |
| Tipo de documento: |
Dissertação
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| Tipo de acesso: |
Acesso aberto |
| Idioma: |
por |
| Instituição de defesa: |
Universidade Federal de Goiás
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| Programa de Pós-Graduação: |
Programa de Pós-graduação em Engenharia Elétrica e da Computação (EMC)
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| Departamento: |
Escola de Engenharia Elétrica, Mecânica e de Computação - EMC (RG)
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| País: |
Brasil
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| Palavras-chave em Português: |
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| Palavras-chave em Inglês: |
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| Área do conhecimento CNPq: |
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| Link de acesso: |
http://repositorio.bc.ufg.br/tede/handle/tede/3895
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Resumo: |
This project, in the area of biomedical engineering, belongs to the promising field of research in surface electromyography (s-EMG). This technology can be used for in-depth study of some neuromuscular diseases, such as polyneuropathies and myopathies. Using an array of multichannel electrodes, we can also obtain the decomposition of s-EMG signals, estimation of conduction velocity of muscle fibers, location of innervation zones (set of motor units), among other applications. Although there are wireless electromyographers, there are no wireless electrode arrays in the market. Thinking about this, it was developed a wireless linear array of ten active electrodes for surface electromyography and a set of programs able to receive and process the data captured by this device. The hardware’s features are: low cost compared to similar equipment on the market, 12 bits resolution, 9216 samples per second (1024 samples per second per channel, with 9 channels and 10 electrodes in bipolar configuration), common mode rejection ratio greater than 50 dB; possess an interface for easy interaction with any computers via Bluetooth; enabling research in diverse areas (biomechanics, signal acquisition in athletes, animals, among other possibilities). In addition, it is powered by two lithium-ion batteries and autonomy of approximately 3 hours and 18 minutes. Although there were challenges in various stages of the device construction process, for example, in obtaining a high processing capacity and a high data transmission rate, the tests with prototypes show excellent results, consistent with the literature. After the implementation of the hardware, operational tests were performed as well as practical applications the use of a multi-channel electromyographer. |
