title: The use of EEG modifications due to motor imagery for brain-computer interfaces.
abstract: 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.
authors.affiliation: Laboratorio di Neurofisiopatologia, Fondazione Santa Lucia, 1-00174 Rome, Italy. febo.cincotti@uniroma1.it
authors.forename: Febo
authors.initials: F
authors.lastname: Cincotti
authors.forename: Donatella
authors.initials: D
authors.lastname: Mattia
authors.forename: Claudio
authors.initials: C
authors.lastname: Babiloni
authors.forename: Filippo
authors.initials: F
authors.lastname: Carducci
authors.forename: Serenella
authors.initials: S
authors.lastname: Salinari
authors.forename: Luigi
authors.initials: L
authors.lastname: Bianchi
authors.forename: Maria Grazia
authors.initials: MG
authors.lastname: Marciani
authors.forename: Fabio
authors.initials: F
authors.lastname: Babiloni
mesh_terms: 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