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Enhancing P300 component by spectral power ratio principal components for a single trial brain-computer interface

Andrews, S., Palaniappan, Ramaswamy, Teoh, A., Kiong, L.C. (2008) Enhancing P300 component by spectral power ratio principal components for a single trial brain-computer interface. American Journal of Applied Sciences, 5 (6). pp. 639-644. ISSN 1546-9239. (doi:10.3844/ajassp.2008.639.644) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.3844/ajassp.2008.639.644

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. © 2008 Science Publications.

Item Type: Article
DOI/Identification number: 10.3844/ajassp.2008.639.644
Additional information: Unmapped bibliographic data: LA - English [Field not mapped to EPrints] J2 - Am. J. Appl. Sci. [Field not mapped to EPrints] AD - Faculty of Information Science and Technology, Multimedia University, Malacca, Malaysia [Field not mapped to EPrints] AD - Department of Computing and Electronic Systems, University of Essex, Colchester, United Kingdom [Field not mapped to EPrints] AD - Biometric Engineering Research Centre, Yonsei University, Seoul, South Korea [Field not mapped to EPrints] AD - Faculty of Engineering and Technology, Multimedia University, Malacca, Malaysia [Field not mapped to EPrints] DB - Scopus [Field not mapped to EPrints] M3 - Article [Field not mapped to EPrints]
Uncontrolled keywords: Brain-computer interface, P300, Principal components, Single trial, Spectral power ratio
Divisions: Faculties > Sciences > School of Computing > Data Science
Depositing User: Palaniappan Ramaswamy
Date Deposited: 12 Dec 2018 22:31 UTC
Last Modified: 30 May 2019 08:29 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/70720 (The current URI for this page, for reference purposes)
Palaniappan, Ramaswamy: https://orcid.org/0000-0001-5296-8396
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