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Wavelet Lifting over Information-Based EEG Graphs for Motor Imagery Data Classification

Asensio-Cubero, Javier, Gan, John Q., Palaniappan, Ramaswamy (2014) Wavelet Lifting over Information-Based EEG Graphs for Motor Imagery Data Classification. Lecture Notes in Computer Science, 8908 . pp. 3-19. ISSN 0302-9743. (doi:10.1007/978-3-662-45686-6_1)

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http://dx.doi.org/10.1007/978-3-662-45686-6_1

Abstract

The imagination of limb movements offers an intuitive paradigm for the control of electronic devices via brain computer interfacing (BCI). The analysis of electroencephalographic (EEG) data related to motor imagery potentials has proved to be a difficult task. EEG readings are noisy, and the elicited patterns occur in different parts of the scalp, at different instants and at different frequencies. Wavelet transform has been widely used in the BCI field as it offers temporal and spectral capabilities, although it lacks spatial information. In this study we propose a tailored second generation wavelet to extract features from these three domains. This transform is applied over a graph representation of motor imaginary trials, which encodes temporal and spatial information. This graph is enhanced using per-subject knowledge in order to optimise the spatial relationships among the electrodes, and to improve the filter design. This method improves the performance of classifying different imaginary limb movements maintaining the low computational resources required by the lifting transform over graphs. By using an online dataset we were able to positively assess the feasibility of using the novel method in an online BCI context.

Item Type: Article
DOI/Identification number: 10.1007/978-3-662-45686-6_1
Uncontrolled keywords: Multiresolution analysis EEG data graph representation Motor imagery Brain computer interfacing Wavelet lifting Mutual information
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.9.H85 Human computer interaction
Divisions: Faculties > Sciences > School of Computing > Data Science
Depositing User: Palaniappan Ramaswamy
Date Deposited: 03 Sep 2015 17:31 UTC
Last Modified: 01 Aug 2019 10:39 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/50393 (The current URI for this page, for reference purposes)
Palaniappan, Ramaswamy: https://orcid.org/0000-0001-5296-8396
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