Work

Classification of evoked potentials by Pearson's correlation in a brain-computer interface

Year: 2007

Type: article

Abstract: In this paper, we describe and evaluate the performance of a linear classifier learning technique for use in a brain-computer interface. Electroencephalogram (EEG) signals acquired from individual subjets are analyzed with this technique in order to detect responses to visual stimuli. Signal processing and classification are used for implementing a palliative communication system which allows the individual to spell words. Performance with this technique is evaluated on data collected from eight individuals.

Source: HAL

Authors: Cabestaing, François, Vaughan, Theresa M, Mcfarland, Dennis J, Wolpaw, Jonathan R

Institution: Laboratoire d'Automatique, Génie Informatique et Signal

Language: English

Topic: EEG and Brain-Computer Interfaces

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: green

OpenAlex ID: W2612447786

FWCI:

Cites: 7

Cited by: 5

Related to: 10