Ocular artifacts removal from EEG using EMD

Looney, David and Li, Ling and Rutkowski, Tomasz M and Mandic, Danilo P. and Cichocki, Andrzej (2008) Ocular artifacts removal from EEG using EMD. In: Wang, Rubin and Shen, Enhua and Gu, Fanji, eds. Advances in Cognitive Neurodynamics ICCN 2007. Springer Netherlands pp. 831-835. ISBN 978-1-4020-8386-0. E-ISBN 978-1-4020-8387-7. (doi:https://doi.org/10.1007/978-1-4020-8387-7_145) (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)

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Official URL
http://dx.doi.org/10.1007/978-1-4020-8387-7_145

Abstract

Electroencephalogram (EEG) provides a non-invasive way to analyze brain activity. Blinking and movement of the eyes causes a strong electrical activity that can contaminate EEG recordings, particularly around the forehead but also as far as in occipital areas. Removal of such ocular artifacts is a considerable signal processing problem, since those artifacts overlap in frequency domain with EEG. In this paper we propose a signal reconstruction method based on a time frequency analysis tool known as the Hilbert-Huang spectrum. We demonstrate how our reconstruction scheme can be successfully applied to contaminated EEG data for the purposes of removing unwanted ocular artifacts.

Item Type: Conference or workshop item (Paper)
Subjects: Q Science
Divisions: Faculties > Sciences > School of Computing > Computational Intelligence Group
Faculties > Sciences > School of Computing > Data Science
Depositing User: Caroline Li
Date Deposited: 17 Jul 2015 16:37 UTC
Last Modified: 21 Jul 2015 10:43 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/49597 (The current URI for this page, for reference purposes)
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