The use of EEG modifications due to motor imagery for brain-computer interfaces.
The opening of a communication channel between brain and computer [brain-computer interface (BCI)] is possible by using changes in electroencephalogram (EEG) power spectra related to the imagination of movements. In this paper, we present results obtained by recording EEG during an upper limb motor imagery task in a total of 18 subjects by using low-resolution surface Laplacian, different linear and quadratic classifiers, as well as a variable number of scalp electrodes, from 2 to 26. The results (variable correct classification rate of mental imagery between 75% and 95%) suggest that it is possible to recognize quite reliably ongoing mental movement imagery for BCI applications.
Cincotti
Febo
F
Laboratorio di Neurofisiopatologia, Fondazione Santa Lucia, 1-00174 Rome, Italy. febo.cincotti@uniroma1.it
Mattia
Donatella
D
Babiloni
Claudio
C
Carducci
Filippo
F
Salinari
Serenella
S
Bianchi
Luigi
L
Marciani
Maria Grazia
MG
Babiloni
Fabio
F
D000465:Algorithms; D001921:Brain / Q000502:physiology*; D004569:Electroencephalography / Q000379:methods*; D005071:Evoked Potentials / Q000502:physiology*; D019054:Evoked Potentials, Motor / Q000502:physiology; D005385:Fingers / Q000502:physiology; D006801:Humans; D007092:Imagination / Q000502:physiology*; D009068:Movement / Q000502:physiology; D013850:Thinking / Q000502:physiology; D014584:User-Computer Interface