Using EEG/MEG Data of Cognitive Processes in Brain-Computer Interfaces

Journal Article · Mon Aug 11 04:00:00 EDT 2008 · AIP Conference Proceedings

DOI:https://doi.org/10.1063/1.2979300· OSTI ID:21149289

Gutierrez, David ^[1]

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1. Centro de Investigacion y de Estudios Avanzados (CINVESTAV), Unidad Monterrey, Apodaca, N.L., 66600 (Mexico)

Brain-computer interfaces (BCIs) aim at providing a non-muscular channel for sending commands to the external world using electroencephalographic (EEG) and, more recently, magnetoencephalographic (MEG) measurements of the brain function. Most of the current implementations of BCIs rely on EEG/MEG data of motor activities as such neural processes are well characterized, while the use of data related to cognitive activities has been neglected due to its intrinsic complexity. However, cognitive data usually has larger amplitude, lasts longer and, in some cases, cognitive brain signals are easier to control at will than motor signals. This paper briefy reviews the use of EEG/MEG data of cognitive processes in the implementation of BCIs. Specifically, this paper reviews some of the neuromechanisms, signal features, and processing methods involved. This paper also refers to some of the author's work in the area of detection and classifcation of cognitive signals for BCIs using variability enhancement, parametric modeling, and spatial fltering, as well as recent developments in BCI performance evaluation.

• OSTI ID: 21149289
• Journal Information: AIP Conference Proceedings, Journal Name: AIP Conference Proceedings Journal Issue: 1 Vol. 1032; ISSN APCPCS; ISSN 0094-243X
• Country of Publication: United States
• Language: English

Related Subjects

62 RADIOLOGY AND NUCLEAR MEDICINE
BIOLOGICAL MODELS
BRAIN
COMPUTERIZED SIMULATION
CONTROL
DATA PROCESSING
DIAGNOSIS
ELECTROENCEPHALOGRAPHY
EVALUATION
IMPLEMENTATION
NUCLEAR MAGNETIC RESONANCE
NUCLEAR MEDICINE
PATIENTS
REVIEWS