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P300-Based BCI Mouse With Genetically-Optimized Analogue Control

2008; Institute of Electrical and Electronics Engineers; Volume: 16; Issue: 1 Linguagem: Inglês

10.1109/tnsre.2007.913184

1558-0210

Luca Citi, Riccardo Poli, Caterina Cinel, Francisco Sepulveda,

Neuroscience and Neural Engineering

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.