SURVEY OF BRAIN SIGNALS AND METHODS USED IN A BRAIN COMPUTER INTERFACE
10.15660/AUOFMTE.2014-3.3072
Robert-Bela NAGY, Florin POPENTIU, Radu C. TARCA
Volume XXIII (XIII), 2014/3
Brain computer interface (BCI) system offers communication and control possibilities to people with severe disabilities, like patients with amyotrophic lateral sclerosis (ALS) disease. The most of current BCI’s use the electroencephalographic (EEG) activity recorded directly from the scalp, and are used to different control tasks, such as computer cursor movement, letter selection, etc., but there are other ways to record brain signals too. Unfortunately they are invasive methods (ECoG, MEAs, etc.) and are facing ethical issues. In this article there will be presented the signals used by the BCI systems. The use of the BCI system depends on the interaction between two adaptive controllers: the user’s brain and the BCI system, which will adapt to the brains output signals. Some applications that can be used as examples are as follows: EEG-based brain-controlled mobile robots, immersion and interaction with virtual reality, user state monitoring, braincontrol of prosthetic extremity devices in people with paralysis, etc.
Keyword: BCI, BCI signal description, BCI signals, brain signals, brain-computer interface, EEG, SSVEP, Survey
ISSN 1583-0691, CNCSIS "Clasa B+"