Sistema embebido destinado a la detección y eliminación de artefactos en señales EEG para aplicaciones médicas
The purpose of this degree project is to compare and implement in an embedded system algorithms to detect and reduce artifacts present in EEG signals of single channel. For this purpose an investigation of existing algorithms to detect and reduce artifacts in the EEG signals was performed, the algor...
| Autor Principal: | Lozada Tenorio, Cesar Augusto |
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| Otros Autores: | David Medina, Bolívar Daniel |
| Formato: | info:eu-repo/semantics/bachelorThesis |
| Idioma: | spa |
| Publicado: |
Ingenierias
2017
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| Materias: | |
| Acceso en línea: |
http://hdl.handle.net/10819/4267 |
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| Sumario: |
The purpose of this degree project is to compare and implement in an embedded system algorithms to detect and reduce artifacts present in EEG signals of single channel. For this purpose an investigation of existing algorithms to detect and reduce artifacts in the EEG signals was performed, the algorithms that could be applied to the database available were selected. These algorithms were simulated using two tools, Matlab and Python. Finally the algorithms are implemented in an embedded system and the results was validated. |
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