Title :
The use of EEG modifications due to motor imagery for brain-computer interfaces
Author :
Cincotti, Febo ; Mattia, Donatella ; Babiloni, Claudio ; Carducci, Filippo ; Salinari, Serenella ; Bianchi, Luigi ; Marciani, Maria Grazia ; Babiloni, Fabio
Author_Institution :
Lab. di Neurofisiopatologia, Fondazione Santa Lucia, Rome, Italy
fDate :
6/1/2003 12:00:00 AM
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.
Keywords :
biomechanics; electroencephalography; handicapped aids; medical signal processing; spectral analysis; EEG power spectra; brain-computer interface; event-related desynchronizations; high-resolution electroencephalogram; linear classifiers; low-resolution surface Laplacian; motor imagery; movements imagination; ongoing mental movement imagery; quadratic classifiers; scalp electrodes; upper limb motor imagery task; Brain computer interfaces; Communication channels; Computer interfaces; Electrodes; Electroencephalography; Fingers; Frequency; Image recognition; Laplace equations; Scalp; Algorithms; Brain; Electroencephalography; Evoked Potentials; Evoked Potentials, Motor; Fingers; Humans; Imagination; Movement; Thinking; User-Computer Interface;
Journal_Title :
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
DOI :
10.1109/TNSRE.2003.814455
