EEG-Based Brain-Computer Interface for Tetraplegics

• Published in: Computational Intelligence and Neuroscience Vol. 2007; pp. 66 - 76
• Main Authors: Kauhanen, Laura, Jylanki, Pasi, Lehtonen, Janne, Rantanen, Pekka, Alaranta, Hannu, Sams, Mikko
• Format: Journal Article
• Language: English
• Published: United States Hindawi Limiteds 2007; Hindawi Publishing Corporation
• ISSN: 1687-5265; 1687-5273
• DOI: 10.1155/2007/23864

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.