15 research outputs found
EEG-Based Brain-Computer Interface for Tetraplegics
Movement-disabled persons typically require a long practice time to learn how to use a brain-computer
interface (BCI). Our aim was to develop a BCI which tetraplegic subjects could
control only in 30 minutes. Six such subjects (level of injury C4-C5) operated a 6-channel
EEG BCI. The task was to move a circle from the centre of the computer screen to its right or
left side by attempting visually triggered right- or left-hand movements. During the training
periods, the classifier was adapted to the user's EEG activity after each movement attempt in a
supervised manner. Feedback of the performance was given immediately after starting the BCI
use. Within the time limit, three subjects learned to control the BCI. We believe that fast initial
learning is an important factor that increases motivation and willingness to use BCIs. We have
previously tested a similar single-trial classification approach in healthy subjects. Our new
results show that methods developed and tested with healthy subjects do not necessarily work
as well as with motor-disabled patients. Therefore, it is important to use motor-disabled persons
as subjects in BCI development