Title

P300 Based Single Trial Independent Component Analysis on EEG Signal

Document Type

Conference Proceeding

Publication Date

2009

Keywords

Independent Component Analysis, Brain Computer Interface, P300 Response, Independent Component Analysis Algorithm

Digital Object Identifier (DOI)

https://doi.org/10.1007%2F978-3-642-02812-0_48

Abstract

A Brain Computer Interface (BCI) is a device that allows the user to communicate with the world without utilizing voluntary muscle activity (i.e., using only the electrical activity of the brain). It makes use of the well-studied observation that the brain reacts differently to different stimuli, as a function of the level of attention allotted to the stimulus stream and the specific processing triggered by the stimulus. In this article we present a single trial independent component analysis (ICA) method that is working with a BCI system proposed by Farwell and Donchin. It can dramatically reduce the signal processing time and improve the data communicating rate. This ICA method achieved 76.67% accuracy on single trial P300 response identification.

Was this content written or created while at USF?

Yes

Citation / Publisher Attribution

International Conference of Foundations of Augmented Cognition, p. 404-410

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