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Extracting common spatial patterns based on wavelet lifting for brain computer interface design

Asensio-Cubero, J., Gan, J.Q., Palaniappan, Ramaswamy (2012) Extracting common spatial patterns based on wavelet lifting for brain computer interface design. In: 2012 4th Computer Science and Electronic Engineering Conference (CEEC). . pp. 160-163. IEEE ISBN 978-1-4673-2666-7. (doi:10.1109/CEEC.2012.6375397) (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/10.1109/CEEC.2012.6375397

Abstract

Brain computer interfacing (BCI) offers the possibility to interact with machines uniquely relying on the user's thoughts. Although wavelet analysis has been used in the BCI field there is evidence that standard wavelet families, such as Daubechies, may not be the optimal approach. In this study, we developed a novel wavelet lifting scheme, specifically for BCI design. The lifting transform in this new approach is based on common spatial patterns (CSP), which allows to exploit the signal characteristics in temporal, spectral and spatial domains simultaneously. Experimental results show that in BCI applications the new wavelet outperforms several first generation wavelet families in terms of classification accuracy and resource consumption.

Item Type: Conference or workshop item (Proceeding)
DOI/Identification number: 10.1109/CEEC.2012.6375397
Additional information: Unmapped bibliographic data: C7 - 6375397 [EPrints field already has value set] LA - English [Field not mapped to EPrints] J2 - Comput. Sci. Electron. Eng. Conf., CEEC - Conf. Proc. [Field not mapped to EPrints] AD - School of Computer Science and Electronic Engineering, University of Essex, United Kingdom [Field not mapped to EPrints] AD - Dept. of Engineering, School of Technology, University of Wolverhampton, United Kingdom [Field not mapped to EPrints] DB - Scopus [Field not mapped to EPrints] M3 - Conference Paper [Field not mapped to EPrints] A4 - University of Essex [Field not mapped to EPrints] C3 - 2012 4th Computer Science and Electronic Engineering Conference, CEEC 2012 - Conference Proceedings [Field not mapped to EPrints]
Uncontrolled keywords: Brain-computer interfacing, Classification accuracy, Common spatial patterns, Daubechies, Resource consumption, Signal characteristic, Spatial domains, Wavelet lifting, Wavelet lifting scheme, Computer science, Discrete wavelet transforms, Wavelet analysis, Brain computer interface
Divisions: Faculties > Sciences > School of Computing
Faculties > Sciences > School of Computing > Data Science
Depositing User: Palaniappan Ramaswamy
Date Deposited: 15 Dec 2018 16:28 UTC
Last Modified: 30 May 2019 08:29 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/70703 (The current URI for this page, for reference purposes)
Palaniappan, Ramaswamy: https://orcid.org/0000-0001-5296-8396
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