| One of the
leading BCI research labs in the world is the Wadsworth Center located in
Albany. The BCI laboratory in Albany has focused on using the mu (8-12 Hz)
and the beta (13-28 Hz) rhythms in the EEG for communication [McFarland
1993, Vaughan 1996]. By using these rhythms generated on the sensorimotor
cortex, subjects learned to move a cursor on a computer screen with
biofeedback [Wolpaw 1991, 1994]. The subjects use spontaneous EEG activity
not tied to a specific evoking stimulus. One-dimensional control was
realized with electrodes above the left and right hemisphere. The vertical
cursor movement was established by summing up the mu power over both
hemispheres. When the sum exceeded a given threshold, the cursor moved
upwards or otherwise downwards. The task was either to hit a moving target
on the screen or to move the cursor into a highlighted target on the screen.
In the first case, the trial ended when the moving target disappeared from
the screen and in the second case, when the subject reached the target. A
fast Fourier transformation (FFT) algorithm was used to calculate the power
of the mu rhythm every 200 ms of EEG derivations on the left and right
sensorimotor cortex. These power values were converted into horizontal or
vertical cursor movements by linear equations. The coefficients of the
linear equations were updated after each trial. The classification accuracy
was around 70 % to 80 %. It is important to note, that the movement is paced
by the subject himself - the user can decide when to move the cursor.
Today, the maximal entropy method of autoregressive
spectral estimation is preferably used for on-line analysis. Trained
subjects can reach an accuracy from 70 % up to 95 % and reach the target in
1-2 s [McFarland 1997a, 1997b, 1998, Wolpaw 1998].
Two dimensional control was established by controlling
horizontal movement with the sum of left and right mu power and vertical
movement by the difference between left and right mu. The target was
presented in one corner of the screen. The accuracy was around 60 % and the
subjects needed 2-4 seconds to hit the target [Wolpaw 1994]. The ultimate
goal is a mouse-like cursor control that allows to operate common
mouse-driven programs [Vaughan 1996].
Miner et al. [Miner 1998] demonstrated that a BCI can be
used to answer simple questions. Four trained subjects (one with ALS)
controlled a vertical cursor on a video screen. The targets were replaced by
the words YES and NO. Then the subjects used the cursor to answer spoken
questions. The answers were confirmed by response verification. 93 % to 99 %
of the questions were correctly answered and 64 % to 87 % of their answers
were confirmed by the response verification. The question complexity did not
interfere with the accuracy. Finally, the Wadsworth BCI appears capable of
operating the "Freehand" neuroprosthesis which provides hand-grasp control
to people with spinal cord injuries [Kilgore 1997, Lauer 1999].
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