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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10016/12073
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| Title: | Modelling eliptic brain : feature extraction |
| Author(s): | Boto Espada, Laura |
| Advisor(s): | Luengo García, David |
| Publisher: | Universidad Carlos III de Madrid. Departamento de Teoría de la Señal y Comunicaciones
University of Reading. School of Systems Engineering Cybernetics |
| Issued date: | 2011 |
| Defense date: | 11-Jan-2011 |
| URI: | http://hdl.handle.net/10016/12073 |
| Degree: | Ingeniería de Telecomunicación |
| Abstract: | The purpose of this project is to detect when an epileptic seizure has happened. Epileptic electroencephalogram signals (EEG) have been analyzed using Short Time Fourier Transform (STFT) and Wavelet Transform (WT). When epileptic events occur, EEG signals are nonstationary. For this reason, STFT and WT have to be applied in this research to analyze these signals and to extract the most representative features of them. The aim is to process a set of signals from several pacients so that they can be classified by a classifier in order to find when a seizure has happened. |
| Keywords: | Proceso de señales
Cerebro
Redes neuronales |
| Appears in Collections: | Proyectos Fin de Carrera
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