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| Research article summary (published 30 May 2003): |
The use of EEG modifications due to motor imagery for brain-computer interfaces.
Full 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.
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Author information
Author/s: Cincotti, Febo (F); Mattia, Donatella (D); Babiloni, Claudio (C); Carducci, Filippo (F); Salinari, Serenella (S); Bianchi, Luigi (L); Marciani, Maria Grazia (MG); Babiloni, Fabio (F);
Affiliation: Laboratorio di Neurofisiopatologia, Fondazione Santa Lucia, 1-00174 Rome, Italy. febo.cincotti(-atsign-)uniroma1.it
Journal and publication information
Publication Type: Comparative Study; Evaluation Studies; Journal Article; Validation Studies
Journal: IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society (IEEE Trans Neural Syst Rehabil Eng), published in United States. (Language: eng)
Reference: 2003-Jun; vol 11 (issue 2) : pp 131-3
Dates: Created 2003/08/05; Completed 2003/09/12; Revised 2006/11/15;
PMID: 12899254, status: MEDLINE (last retrieval date: 11/6/2008)
Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.
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