Brain-computer interfacing for intelligent systems

Anton Nijholt, Desney Tan, Gert Pfurtscheller, Clemens Brunner, José Del R. Millón, Brendan Allison, Bernhard Graimann, Florin Popescu, Benjamin Blankertz, Klaus R. Müller

Research output: Contribution to journalArticle

191 Citations (Scopus)

Abstract

A brain-computer interface (BCI) is a novel communication system that translates human thoughts or intentions into a control signal. It provides a new, nonmuscular communication channel that system developers can use in a variety of applications, such as assisting people with severe motor disabilities, supporting biffed-back training in people suffering form epilepsy, stroke or attentional deficit hyperactivity disorders (ADHD). It can changes the record in electrical potentials, magnetic fields, and metabolic supply when the activated neuron population exceeds some critical mass. Users in BCIs can explicitly manipulate their brain activity instead of motor movements to produce signals that control computers or communication devices. BCI exploits a strong characteristics of the EEG, the evoked potential, which reflects the immediate automatic responses of the brain to some external stimuli.

Original languageEnglish
Article number4525145
Pages (from-to)72-79
Number of pages8
JournalIEEE Intelligent Systems
Volume23
Issue number3
DOIs
Publication statusPublished - 2008 May

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Artificial Intelligence

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    Nijholt, A., Tan, D., Pfurtscheller, G., Brunner, C., Millón, J. D. R., Allison, B., Graimann, B., Popescu, F., Blankertz, B., & Müller, K. R. (2008). Brain-computer interfacing for intelligent systems. IEEE Intelligent Systems, 23(3), 72-79. [4525145]. https://doi.org/10.1109/MIS.2008.41