EEG-based brain-computer interface using subject-specific spatial filters
- Cite this paper as:
- Pfurtscheller G., Guger C., Ramoser H. (1999) EEG-based brain-computer interface using subject-specific spatial filters. In: Mira J., Sánchez-Andrés J.V. (eds) Engineering Applications of Bio-Inspired Artificial Neural Networks. IWANN 1999. Lecture Notes in Computer Science, vol 1607. Springer, Berlin, Heidelberg
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
Unable to display preview. Download preview PDF.