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

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

Formato

application/pdf

Idioma

Inglés

Audiencia

Público en general

Sugerencia de citación

Morales-Flores E.

Repositorio Orígen

Repositorio Institucional del INAOE

Descargas

1583

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