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Enhancing P300 Component by Spectral Power Ratio Principal Components for a Single Trial Brain-Computer Interface

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Author(s): S. Andrews | Ramaswamy Palaniappan | Andrew Teoh | Loo chu Kiong

Journal: American Journal of Applied Sciences
ISSN 1546-9239

Volume: 5;
Issue: 6;
Start page: 639;
Date: 2008;
Original page

Keywords: Brain-computer interface | principal components | P300 | single trial | spectral power ratio

ABSTRACT
Here we present a novel approach to detect P300 wave in single trial Visual Event Related Potential (VERP) signals using improved principal component analysis to enable a faster brain-computer interface (BCI) design. In the process, the principal components (PCs) are selected using novel methods, namely spectral power ratio (SPR) and sandwich spectral power ratio (SSPR). We set out to assess the improved performances of our proposed methods, SPR and SSPR over standard PC selection methods like Kaiser and residual power for speller BCI design. Concluding, the P300 parameters extracted through our proposed SPR and SSPR methods showed improved detection of target characters in the speller BCI.
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