Detalhes bibliográficos
| Ano de defesa: |
2015 |
| Autor(a) principal: |
Carvalhaes, Millys Fabrielle Araujo |
| Orientador(a): |
Vieira, Marcus Fraga
 |
| Banca de defesa: |
Vieira, Marcus Fraga,
Nora, Fernanda Grazielle da SIlva,
Vieira, Silvio Leão |
| Tipo de documento: |
Dissertação
|
| Tipo de acesso: |
Acesso aberto |
| Idioma: |
por |
| Instituição de defesa: |
Universidade Federal de Goiás
|
| Programa de Pós-Graduação: |
Programa de Pós-graduação em Engenharia Elétrica e da Computação (EMC)
|
| Departamento: |
Escola de Engenharia Elétrica, Mecânica e de Computação - EMC (RG)
|
| País: |
Brasil
|
| 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/5699
|
Resumo: |
This study proposes a computational tool to support motor rehabilitation of the upper limbs in post stroke patients. This tool was designed to be used in combination with Virtual Environment, which is also being developed at Bioengineering and Biomechanics Laboratory. Thereby, while the virtual environment focus is the patient interaction and immersion through Kinect Xbox 360 sensor, the main goal of this study is a biomechanical analysis of the movements performed by the patients via the data generated by the Kinect during the patient’s interaction with the virtual environment. Furthermore, since Kinect Xbox 360 is not designed for clinical analysis, tests were performed to compare the precision with respect to a standard motion capture system, the Vicon system, considered the gold standard, widely used in laboratories of biomechanics for kinematic analysis of movements. In this respect, statistical tests were used to compare the results of both systems. In addition, vector analysis using the Statistical Parametric Mapping method allowed provided about information about which coordinates had greater influence at the results. |
