Work

Online BCI with Stable Sources

Year: 2012

Type: conference-paper

Abstract: In this paper, we show that the estimated intra-cranial sources using source localization on EEG signals can be used for online Brain Computer Interation (BCI) and the discriminant sources remain stable over days. Classifiers are trained on discriminant sources obtained for Error-related Potential (ErrP) based BCI on day 1 and then tested online on day 2. The results for nine subjects show that the source localization with discriminant sources can be used for online detection of ErrPs. Furthermore, the number of common sources among the discriminant sources for different days is above chance which shows that the discriminant sources remain stable over days.

Source: Infoscience (Ecole Polytechnique Fédérale de Lausanne)

Authors: Mohit Kumar Goel, Ricardo Chavarriaga, José del R. Millán

Language: English

Topic: EEG and Brain-Computer Interfaces

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: green

Funders: National Science Foundation, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Awards: Brain-coupled interactive devices, G993971353

OpenAlex ID: W1580817994

FWCI:

Cites: 2

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Related to: 10