G. Pfurtscheller et al., EEG-BASED BRAIN COMPUTER-INTERFACE (BCI) - SEARCH FOR OPTIMAL ELECTRODE POSITIONS AND FREQUENCY COMPONENTS, Medical progress through technology, 21(3), 1995, pp. 111-121
Several laboratories around the world have recently started to investi
gate EEG-based brain computer interface (BCI) systems in order to crea
te a new communication channel for subjects with severe motor impairme
nts. The present paper describes an initial evaluation of 64-channel E
EG data recorded while subjects used one EEG channel over the left sen
sorimotor area to control on-line vertical cursor movement. Targets we
re given at the top or bottom of a computer screen. Data from 3 subjec
ts in the early stages of training were analyzed by calculating band p
ower time courses and maps for top and bottom targets separately. In a
ddition, the Distinction Sensitive Learning Vector Quantizer (DSLVQ) w
as applied to single-trial EEG data. It was found that for each subjec
t there exist optimal electrode positions and frequency components for
on-line EEG-based cursor control.