These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Search MEDLINE/PubMed

  • Title: The use of EEG modifications due to motor imagery for brain-computer interfaces.
    Author: Cincotti F, Mattia D, Babiloni C, Carducci F, Salinari S, Bianchi L, Marciani MG, Babiloni F.
    Journal: IEEE Trans Neural Syst Rehabil Eng; 2003 Jun; 11(2):131-3. PubMed ID: 12899254.
    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.
    [Abstract] [Full Text] [Related] [New Search]