The use of EEG modifications due to motor imagery for brain-computer interfaces

Febo Cincotti, Donatella Mattia, Claudio Babiloni, Filippo Carducci, Serenella Salinari, Luigi Bianchi, Maria Grazia Marciani, Fabio Babiloni

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)131-133
Number of pages3
JournalIEEE Transactions on Neural Systems and Rehabilitation Engineering
Volume11
Issue number2
DOIs
Publication statusPublished - Jun 2003

Keywords

  • Brain
  • Computer interface (BCI)
  • Event-related desynchronizations/synchronization (ERD/ERS)
  • High-resolution electroencephalogram (EEG)
  • Motor imagery

ASJC Scopus subject areas

  • Rehabilitation
  • Biophysics
  • Bioengineering
  • Health Professions(all)

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