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P300-Based BCI Mouse With Genetically-Optimized Analogue Control

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4 Author(s)
Citi, L. ; IMT Inst. for Adv. Studies, Lucca ; Poli, R. ; Cinel, C. ; Sepulveda, F.

In this paper we propose a brain-computer interface (BCI) mouse based on P300 waves in electroencephalogram (EEG) signals. The system is analogue in that at no point a binary decision is made as to whether or not a P300 was actually produced in response to the stimuli. Instead, the 2D motion of the pointer on the screen, using a novel BCI paradigm, is controlled by directly combining the amplitudes of the output produced by a filter in the presence of different stimuli. This filter and the features to be combined within it are optimised by an evolutionary algorithm.

Published in:
Neural Systems and Rehabilitation Engineering, IEEE Transactions on  (Volume:16 ,  Issue: 1 )

Date of Publication: Feb. 2008

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