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.
CITATION STYLE
Ramsey, L., Tangermann, M., Haufe, S., & Blankertz, B. (2009). Practicing fast-decision BCI using a “goalkeeper” paradigm. BMC Neuroscience, 10(S1). https://doi.org/10.1186/1471-2202-10-s1-p69
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