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EEG inverse problem solution using a selection procedure on a high number of electrodes with minimal influence of conductivity

Bertrand Russel Yitembe, Guillaume Crevecoeur UGent, Roger Van Keer and Luc Dupré UGent (2011) IEEE TRANSACTIONS ON MAGNETICS. 47(5). p.874-877
abstract
The uncertain conductivity value of skull and brain tissue influences the accuracy of the electroencephalogram (EEG) inverse problem solution. Indeed, when the assumed conductivity in the numerical procedure is different from the actual conductivity then a source localization error is introduced. When using traditional least-squares minimization methods, the number of electrodes in the EEG cap does not influence the spatial resolution. A recently developed reduced conductivity dependence (RCD) methodology, based on the selection of electrodes, is able to increase the spatial resolution of the EEG inverse problem. This paper presents the implications of the RCD method when using a large number of electrodes in the EEG cap on the spatial resolution of the EEG inverse solutions. We show by means of numerical experiments that in contrast to traditional methods, the RCD method enables to increase the spatial resolution. The computations show that the EEG hardware should be modified with as large as possible electrodes.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
DIPOLES, SOURCE LOCALIZATION, HEAD MODEL, inverse problem, electroencephalogram (EEG), Conductivity, resolution, uncertainty
journal title
IEEE TRANSACTIONS ON MAGNETICS
IEEE Trans. Magn.
volume
47
issue
5
pages
874 - 877
Web of Science type
Article
Web of Science id
000289909100004
JCR category
ENGINEERING, ELECTRICAL & ELECTRONIC
JCR impact factor
1.363 (2011)
JCR rank
94/244 (2011)
JCR quartile
2 (2011)
ISSN
0018-9464
DOI
10.1109/TMAG.2010.2072909
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
2116185
handle
http://hdl.handle.net/1854/LU-2116185
date created
2012-05-25 20:44:14
date last changed
2016-12-19 15:42:57
@article{2116185,
  abstract     = {The uncertain conductivity value of skull and brain tissue influences the accuracy of the electroencephalogram (EEG) inverse problem solution. Indeed, when the assumed conductivity in the numerical procedure is different from the actual conductivity then a source localization error is introduced. When using traditional least-squares minimization methods, the number of electrodes in the EEG cap does not influence the spatial resolution. A recently developed reduced conductivity dependence (RCD) methodology, based on the selection of electrodes, is able to increase the spatial resolution of the EEG inverse problem. This paper presents the implications of the RCD method when using a large number of electrodes in the EEG cap on the spatial resolution of the EEG inverse solutions. We show by means of numerical experiments that in contrast to traditional methods, the RCD method enables to increase the spatial resolution. The computations show that the EEG hardware should be modified with as large as possible electrodes.},
  author       = {Yitembe, Bertrand Russel and Crevecoeur, Guillaume and Van Keer, Roger and Dupr{\'e}, Luc},
  issn         = {0018-9464},
  journal      = {IEEE TRANSACTIONS ON MAGNETICS},
  keyword      = {DIPOLES,SOURCE LOCALIZATION,HEAD MODEL,inverse problem,electroencephalogram (EEG),Conductivity,resolution,uncertainty},
  language     = {eng},
  number       = {5},
  pages        = {874--877},
  title        = {EEG inverse problem solution using a selection procedure on a high number of electrodes with minimal influence of conductivity},
  url          = {http://dx.doi.org/10.1109/TMAG.2010.2072909},
  volume       = {47},
  year         = {2011},
}

Chicago
Yitembe, Bertrand Russel, Guillaume Crevecoeur, Roger Van Keer, and Luc Dupré. 2011. “EEG Inverse Problem Solution Using a Selection Procedure on a High Number of Electrodes with Minimal Influence of Conductivity.” Ieee Transactions on Magnetics 47 (5): 874–877.
APA
Yitembe, B. R., Crevecoeur, G., Van Keer, R., & Dupré, L. (2011). EEG inverse problem solution using a selection procedure on a high number of electrodes with minimal influence of conductivity. IEEE TRANSACTIONS ON MAGNETICS, 47(5), 874–877.
Vancouver
1.
Yitembe BR, Crevecoeur G, Van Keer R, Dupré L. EEG inverse problem solution using a selection procedure on a high number of electrodes with minimal influence of conductivity. IEEE TRANSACTIONS ON MAGNETICS. 2011;47(5):874–7.
MLA
Yitembe, Bertrand Russel, Guillaume Crevecoeur, Roger Van Keer, et al. “EEG Inverse Problem Solution Using a Selection Procedure on a High Number of Electrodes with Minimal Influence of Conductivity.” IEEE TRANSACTIONS ON MAGNETICS 47.5 (2011): 874–877. Print.