Título
EEG/ECoG-based BCI systems: a NeuroFuzzy approach using recurrent neural networks and adaptive filters
Autor
EMMANUEL MORALES FLORES
Nivel de Acceso
Acceso Abierto
Materias
Brain computer - (CEREBRAL) Neurophysiological signls - (REDES NEURONALES) Electroencephalography - (ELECTROENCEFALOGRAFÍA) Dynamical recurrent networks - (DINÁMICA RECURRENTE) Fuzzy systems - (SISTEMAS DIFUSOS) CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA - (CTI) FÍSICA - (CTI) ELECTRÓNICA - (CTI)
Resumen o descripción
A brain computer interface (BCI) is a system aimed to provide the brain with
an additional channel of communication and control, which does not depend
on the normal output pathways. This dissertation is focused on the study of
signal processing techniques to address two issues of current BCI methodologies.
These issues are related to spatial filtering techniques and approaches
for capturing temporal behavior of electrical brain signals recorded through two
different modalities: Electroencephalography (EEG) and electrocorticography
(ECoG). Concerning to spatial filtering, a non-supervised algorithm based on
the steepest descent method to adapt spatial filter’s coefficients for preprocessing
ECoG signals is proposed.
Editor
Instituto Nacional de Astrofísica, Óptica y Electrónica
Fecha de publicación
17 de marzo de 2015
Tipo de publicación
Tesis de doctorado
Recurso de información
Formato
application/pdf
Idioma
Inglés
Audiencia
Público en general
Sugerencia de citación
Morales-Flores E.
Repositorio Orígen
Repositorio Institucional del INAOE
Descargas
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