School of Computing

Ocular artifacts removal from EEG using EMD

D. Looney, L. Li, T. M. Rutkowski, D. P. Mandic, and A. Cichocki

In Advances in cognitive neurodynamics ICCN 2007, pages 182-196. Springer, January 2008 [doi].

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, partic- ularly 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 anal- ysis 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 artefacts.

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Bibtex Record

@inproceedings{3184,
author = {D. Looney and L. Li and T. M. Rutkowski and D. P. Mandic and A. Cichocki},
title = {Ocular Artifacts Removal from {EEG} Using {EMD}},
month = {January},
year = {2008},
pages = {182-196},
keywords = {determinacy analysis, Craig interpolants},
note = {},
doi = {10.1007/978-1-4020-8387-7_145},
url = {http://www.cs.kent.ac.uk/pubs/2008/3184},
    publication_type = {inproceedings},
    submission_id = {9016_1320841258},
    ISBN = {978-1-4020-8387-7},
    booktitle = {Advances in cognitive neurodynamics ICCN 2007},
    publisher = {Springer},
}

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