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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: Proceedings of the International Conference on Cognitive Neurodynamics. Springer, Dordecht, Netherlands, pp. 831-835. ISBN 978-1-4020-8386-0. E-ISBN 978-1-4020-8387-7. (doi: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)

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/10.1007/978-1-4020-8387-7_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: Book section
DOI/Identification number: 10.1007/978-1-4020-8387-7_145
Uncontrolled keywords: Empirical Mode Decomposition; Instantaneous Frequency; Intrinsic Mode Function; Ocular Artifact; Hilbert Spectrum
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: 07 Feb 2020 04:07 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/49597 (The current URI for this page, for reference purposes)
Li, Ling: https://orcid.org/0000-0002-4026-0216
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