Abstract
Bringing a Brain–Computer Interface (BCI) out of the lab one of the main problems has to be solved: to shorten the training time. Finding a solution for this problem, the use of a BCI will be open not only for people who have no choice, e.g., persons in a locked-in state, or suffering from a degenerating nerve disease. By reducing the training time to a minimum, also healthy persons will make use of the system, e.g., for using this kind of control for games. For realizing such a control, the post-movement beta rebound occurring after brisk feet movement was used to set up a classifier. This classifier was then used in a cue-based motor imagery system. After classifier adaptation, a self-paced brain-switch based on brisk foot motor imagery (MI) was evaluated. Four out of six subjects showed that a post-movement beta rebound after feet MI and succeeded with a true positive rate between 69 and 89%, while the positive predictive value was between 75 and 93%.
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Acknowledgments
The authors would like to thank Dr. Clemens Brunner for fruitful discussions. This study was supported by the Lorenz-Boehler Gesellschaft, Allgemeine Unfallversicherungsanstalt (AUVA), Wings for Life—Spinal Cord Research Foundation, EU funded PRESENCCIA (IST-2006-27731).
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Müller-Putz, G.R., Kaiser, V., Solis-Escalante, T. et al. Fast set-up asynchronous brain-switch based on detection of foot motor imagery in 1-channel EEG. Med Biol Eng Comput 48, 229–233 (2010). https://doi.org/10.1007/s11517-009-0572-7
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DOI: https://doi.org/10.1007/s11517-009-0572-7