El presente artículo describe una interfaz cerebro-computador (BCI: Brain-Computer Interface) que permite gobernar un brazo robótico. El sistema emplea señales electroencefalográficas (EEG) captadas por 16 electrodos para controlar el robot mediante potenciales evocados visuales, concretamente a través del paradigma P300 y N2PC. De esta manera, usando estímulos visuales, el usuario es capaz de controlar el movimiento del robot, centrando su atención en las diferentes opciones que se le muestran en una pantalla. El sistema ha sido validado de forma satisfactoria por tres usuarios sanos, cada uno de los cuales realizó diversas tareas de agarre y colocación de objetos controlando un brazo robot de 6 grados de libertad.
Información de la revista
Vol. 8. Núm. 2.
Páginas 103-111 (abril 2011)
Vol. 8. Núm. 2.
Páginas 103-111 (abril 2011)
Open Access
Interfaz Cerebral no Invasiva basada en Potenciales Evocados para el Control de un Brazo Robot
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José L. Sirvent, José M. Azorín, Eduardo Iáñez, Andrés Úbeda, Eduardo Fernández
Grupo de Neuroingeniería Biomédica, Universidad Miguel Hernández de Elche, Avda. de la Universidad s/n, 03202, Elche (Alicante), España
Este artículo ha recibido
Información del artículo
Resumen
Palabras clave:
Interfaz cerebro-computador
interfaz hombre-robot
brazo robot
control
potenciales evocados
El Texto completo está disponible en PDF
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