P300 Based Single Trial Independent Component Analysis on EEG Signal
Independent Component Analysis, Brain Computer Interface, P300 Response, Independent Component Analysis Algorithm
Digital Object Identifier (DOI)
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.
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Citation / Publisher Attribution
International Conference of Foundations of Augmented Cognition, p. 404-410
Scholar Commons Citation
Li, Kun; Sankar, Ravi; Arbel, Yael; and Donchin, Emanuel, "P300 Based Single Trial Independent Component Analysis on EEG Signal" (2009). Psychology Faculty Publications. 349.