P300-Based BCI Mouse With Genetically-Optimized Analogue Control

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...

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Bibliographic Details
Published in:	IEEE transactions on neural systems and rehabilitation engineering Vol. 16; no. 1; pp. 51 - 61
Main Authors:	Citi, Luca, Poli, Riccardo, Cinel, Caterina, Sepulveda, Francisco
Format:	Journal Article
Language:	English
Published:	United States IEEE 01-02-2008
Subjects:	Adult Algorithms Brain - physiology Brain-computer interfaces (BCIs) Communication system control Computer Graphics Electrodes Electroencephalography Enterprise resource planning Event-Related Potentials, P300 - genetics Event-Related Potentials, P300 - physiology Evolutionary computation Female Filters Genetic algorithms Humans Male Mice Motion control mouse Muscles P300 Psychomotor Performance - physiology Rhythm User-Computer Interface
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Summary:	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.
ISSN:	1534-4320
DOI:	10.1109/TNSRE.2007.913184