Examinando por Materia "Embedded System"
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- PublicaciónAcceso abiertoImplementación de la transformada wavelet sobre un sistema embebido para el pre-procesamiento de señales unidimensionales no estacionarias(2016-11-29) Ruiz Salazar, Jeferson; Orejuela Caicedo, David Alexander; Valencia Murillo, José Fernando; Valencia Vargas, Daniel FelipeSeveral methods are used for signal processing, one of them is the Wavelet Transform (WT) algorithm. The WT is employed in the field of signal denoising; it has proved to be a tool that fits effectiveness in terms of execution time and precision. In this project, WT implementation on FPGA is proposed for denoising one-dimensional non-stationary signals. WT has been represented by the lifting method using four decomposition levels. To verify the design four EEG signals sampled at 100Hz collected from BCI competition III, corrupted by white Gaussian noise 20dB of SNR were used. The results were analyzed by two numerical evaluation criteria, such as Peak signal-to-noise ratio (PSNR) and mean square error (RMSE), which showed an improvement of 1.9 regarding RMSE and 1.7 concerning PSNR about the noisy signal.
- PublicaciónAcceso abiertoSistema embebido destinado a la detección y eliminación de artefactos en señales EEG para aplicaciones médicas(2015-11-23) Lozada Tenorio, Cesar Augusto; David Medina, Bolívar Daniel; Valencia Murillo, José FernandoThe 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.