EEG-based brain-computer interface using subject-specific spatial filters
Sensorimotor EEG rhythms are affected by motor imagery and can, therefore, be used as input signals for an EEG-based brain-computer interface (BCI). Satisfactory classification rates of imagery-related EEG patterns can be activated when multiple EEG recordings and the method of common spatial patterns is used for parameter estimation. Data from 3 BCI experiments with and without feedback are reported.
Key wordsBrain-Computer Interface (BCI) single-trial EEG classification common spatial filter motor imagery event-related desynchronization
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