Practicing fast-decision BCI using a ``goalkeeper'' paradigm
Lenny Ramsey, Michael Tangermann, Stefan Haufe and Benjamin Blankertz
BMC Neuroscience Volume 10, Number Suppl 1:P69, 2009.

Abstract

Brain-computer interfacing (BCI) aims at providing paralyzed patients with a communication device that obviates the need of using the usual motor pathways. A large number of BCI systems is based on motor imagery for encoding the user's intention. Motor imagery typically leads to event-related desynchronization (ERD) of the 10 Hz mu-rhythm in the motor cortex associated to the respective limb. This EEG phenomenon can be used for feedback control for most subjects by a classifier that was individually trained on the subject's EEG [1,2]. We introduce the goalkeeper paradigm that aims at improving online BCI performance by subject training under time pressure conditions.

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