University of Surrey

Test tubes in the lab Research in the ATI Dance Research

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.

[img]
Preview
PDF (licence)
32Kb
[img]
Preview
PDF
Available under License : See the attached licence file.

317Kb

Official URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?...

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
ID Code:714846
Deposited By:Symplectic Elements
Deposited On:14 Nov 2012 13:42
Last Modified:16 Feb 2013 16:45

Document Downloads

Repository Staff Only: item control page


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800