Akhtar, Muhammad Tahir and James, C. J. (2009) Focal artifact removal from ongoing EEG - a hybrid approach based on spatially-constrained ICA and wavelet de-noising. In: Annual Conference of the IEEE Engineering in Medicine and Biology Society 2009, Minneapolis, MN, U.S.A., Sep 3-6, 2009. Published in: Proceedings of the Annual Conference of the IEEE Engineering in Medicine and Biology Society 2009 pp. 4027-4030. ISSN 1557-170X, ISBN:978-1-4244-3296-7. doi:10.1109/IEMBS.2009.5333725

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Abstract

Detecting artifacts produced in electroencephalographic (EEG) data by muscle activity, eye blinks and electrical noise, etc., is an important problem in EEG signal processing research. These artifacts must be corrected before further analysis because it renders subsequent analysis very error-prone. One solution is to reject the data segment if artifact is present during the observation interval, however, the rejected data segment could contain important information masked by the artifact. It has already been demonstrated that independent component analysis (ICA) can be an effective and applicable method for EEG de-noising. The goal of this paper is to propose a framework, based on ICA and wavelet denoising (WD), to improve the pre-processing of EEG signals. In particular we employ the concept of spatially-constrained ICA (SCICA) to extract artifact-only independent components (ICs) from the given EEG data, use WD to remove any brain activity from extracted artifacts, and finally project back the artifacts to be subtracted from EEG signals to get clean EEG data. The main advantage of the proposed approach is faster computation, as all ICs are not identified in the usual manner due to the square mixing assumption. Simulation results demonstrate the effectiveness of the proposed approach in removing focal artifacts that can be well separated by SCICA.

Item Type:	Conference Item (Paper)
Subjects:	R Medicine > R Medicine (General) R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group)
Journal or Publication Title:	Proceedings of the Annual Conference of the IEEE Engineering in Medicine and Biology Society 2009
Publisher:	Institute of Electrical and Electronics Engineers
ISSN:	1557-170X, ISBN:978-1-4244-3296-7
Book Title:	2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Official Date:	2009
Dates:	Date Event 2009 Published
Page Range:	pp. 4027-4030
DOI:	10.1109/IEMBS.2009.5333725
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
Conference Paper Type:	Paper
Title of Event:	Annual Conference of the IEEE Engineering in Medicine and Biology Society 2009
Type of Event:	Conference
Location of Event:	Minneapolis, MN, U.S.A.
Date(s) of Event:	Sep 3-6, 2009

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