A new visual feed-back modality for the reduction of artifacts in mu-rhythm based brain-computer interfaces.
A common problem in EEG recording sessions is that results can be heavily contaminated by artifacts. One of the main reasons is that eyes movements generate a noise signal that superimpose to the data. In some BCI protocols the user has generally to control the movement of a cursor on a PC screen by self-regulating his/her mu-rhythm. In general this requires the user to move the eyes to follow the same cursor, thus intrinsically generating a huge amount of noise. To overcome this problem a new feedback modality has been developed, which is able to dramatically reduce the artifacts as it does not require subjects to move their eyes.
Bianchi
Luigi
L
Department of Neuroscience, 'Tor Vergata' University, Via Montpellier 1, 00133 Rome, Italy. luigi.bianchi@uniroma2.it
Pronesti
Danilo
D
Abbafati
Manuel
M
Quitadamo
Lucia Rita
LR
Marciani
Maria Grazia
MG
Saggio
Giovanni
G
D000328:Adult; D016477:Artifacts; D004569:Electroencephalography / Q000379:methods*; D005133:Eye Movements; D005246:Feedback; D006801:Humans; D010507:Periodicity; D014584:User-Computer Interface; D055815:Young Adult