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Rejection of artifact sources in magnetoencephalogram background activity using independent component analysis

Escudero, J, Hornero, R, Abásolo, D, Poza, J, Fernández, A and López, M (2006) Rejection of artifact sources in magnetoencephalogram background activity using independent component analysis In: 28th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society, 2006-08-30 - 2006-09-03, New York, NY.

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Abstract

The aim of this pilot study was to assess the usefulness of independent component analysis (ICA) to detect cardiac artifacts and power line interferences in magnetoencephalogram (MEG) recordings. We recorded MEG signals from six subjects with, a 148-channel whole-head magnetometer (MAGNES 2500 WH, 4D Neuroimaging). Epochs of 50 s with power line noise, cardiac, and ocular artifacts were selected for analysis. We applied a statistical criterion to determine the number of sources, and a robust ICA algorithm to decompose the MEG epochs. Skewness, kurtosis, and a spectral metric were used to mark the studied artifacts. We found that the power fine interference could be easily detected by its frequency characteristics. Moreover, skewness outperformed kurtosis when identifying the cardiac artifact.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Copyright 2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Uncontrolled Keywords: BLIND SOURCE SEPARATION, OCULAR ARTIFACTS, IDENTIFICATION, REMOVAL, SIGNALS, EEG, FIELDS, BRAIN
Divisions: Faculty of Engineering and Physical Sciences > Mechanical Engineering Sciences
Depositing User: Symplectic Elements
Date Deposited: 14 Nov 2012 13:42
Last Modified: 23 Sep 2013 19:37
URI: http://epubs.surrey.ac.uk/id/eprint/714846

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