Brain-Computer Interfaces (BCI) are emerging as a powerful tool for providing an alternative way of communication and environment control to severely disabled people. Among these systems, P300-based BCIs are widely diffused as they are easy to manage and do not require a training for the subjects. These systems, however, are still too slow so that they are actually used only by those patients that are unable to control any muscle. It is possible to improve their performances, but many different analyses need to be performed. Here a set of tools are described for the analysis and optimization of this class of BCI protocols that allow increasing the performances of such systems.
Bianchi, L., Quitadamo, L., Abbafati, M., Marciani, M.g., Saggio, G. (2009). Introducing NPXLab 2010: a tool for the analysis and optimization of P300 based Brain-Computer Interfaces. In Applied Sciences in Biomedical and Communication Technologies, 2009. ISABEL 2009. 2nd International Symposium on. Bratislava : IEEE [10.1109/ISABEL.2009.5373621].
Introducing NPXLab 2010: a tool for the analysis and optimization of P300 based Brain-Computer Interfaces
BIANCHI, LUIGI;MARCIANI, MARIA GRAZIA;SAGGIO, GIOVANNI
2009-11-27
Abstract
Brain-Computer Interfaces (BCI) are emerging as a powerful tool for providing an alternative way of communication and environment control to severely disabled people. Among these systems, P300-based BCIs are widely diffused as they are easy to manage and do not require a training for the subjects. These systems, however, are still too slow so that they are actually used only by those patients that are unable to control any muscle. It is possible to improve their performances, but many different analyses need to be performed. Here a set of tools are described for the analysis and optimization of this class of BCI protocols that allow increasing the performances of such systems.| File | Dimensione | Formato | |
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Introducing NPXLab 2010.pdf
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Descrizione: Introducing NPXLab 2010: a tool for the analysis and optimization of P300 based Brain-Computer Interfaces
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