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Regional sensitivity analysis of the EEG sensors through polynomial chaos

Rob De Staelen UGent, Guillaume Crevecoeur UGent and Tineke Goessens UGent (2012) Proceedings of the 2012 International conference on Computational and Mathematical Methods in Science and Engineering. 2. p.431-438
abstract
We study the sensitivity with respect to an uncertain conductivity in the electroencephalography (EEG) forward problem. A three layer spherical head model with different and random layer conductivities is considered. The randomness is modeled by Legendre Polynomial Chaos. We introduce a (regional) sensitivity index to quantify the sensitivity of sensors with regard to subregions of the brain. As an example the cerebrum and cerebellum are compared together with the whole head as reference.
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
published
subject
keyword
EEG, regional, sensitivity analysis, Polynomial Chaos, conductivity
in
Proceedings of the 2012 International conference on Computational and Mathematical Methods in Science and Engineering
editor
Jesus Vigo-Aguiar
volume
2
pages
431 - 438
publisher
CMMSE
conference name
12th International conference on Computational and Mathematical Methods in Science and Engineering (CMMSE - 2012)
conference location
La Manga, Spain
conference start
2012-07-02
conference end
2012-07-05
ISBN
9788461553921
language
English
UGent publication?
yes
classification
C1
copyright statement
I have transferred the copyright for this publication to the publisher
id
2917362
handle
http://hdl.handle.net/1854/LU-2917362
date created
2012-06-24 09:57:28
date last changed
2012-07-06 13:07:36
@inproceedings{2917362,
  abstract     = {We study the sensitivity with respect to an uncertain conductivity in the electroencephalography (EEG) forward problem. A three layer spherical head model with different and random layer conductivities is considered. The randomness is modeled by Legendre Polynomial Chaos.
We introduce a (regional) sensitivity index to quantify the sensitivity of sensors with regard to subregions of the brain. As an example the cerebrum and cerebellum are compared together with the whole head as reference.},
  author       = {De Staelen, Rob and Crevecoeur, Guillaume and Goessens, Tineke},
  booktitle    = {Proceedings of the 2012 International conference on Computational and Mathematical Methods in Science and Engineering},
  editor       = {Vigo-Aguiar, Jesus},
  isbn         = {9788461553921},
  keyword      = {EEG,regional,sensitivity analysis,Polynomial Chaos,conductivity},
  language     = {eng},
  location     = {La Manga, Spain},
  pages        = {431--438},
  publisher    = {CMMSE},
  title        = {Regional sensitivity analysis of the EEG sensors through polynomial chaos},
  volume       = {2},
  year         = {2012},
}

Chicago
De Staelen, Rob, Guillaume Crevecoeur, and Tineke Goessens. 2012. “Regional Sensitivity Analysis of the EEG Sensors Through Polynomial Chaos.” In Proceedings of the 2012 International Conference on Computational and Mathematical Methods in Science and Engineering, ed. Jesus Vigo-Aguiar, 2:431–438. CMMSE.
APA
De Staelen, R., Crevecoeur, G., & Goessens, T. (2012). Regional sensitivity analysis of the EEG sensors through polynomial chaos. In J. Vigo-Aguiar (Ed.), Proceedings of the 2012 International conference on Computational and Mathematical Methods in Science and Engineering (Vol. 2, pp. 431–438). Presented at the 12th International conference on Computational and Mathematical Methods in Science and Engineering (CMMSE - 2012), CMMSE.
Vancouver
1.
De Staelen R, Crevecoeur G, Goessens T. Regional sensitivity analysis of the EEG sensors through polynomial chaos. In: Vigo-Aguiar J, editor. Proceedings of the 2012 International conference on Computational and Mathematical Methods in Science and Engineering. CMMSE; 2012. p. 431–8.
MLA
De Staelen, Rob, Guillaume Crevecoeur, and Tineke Goessens. “Regional Sensitivity Analysis of the EEG Sensors Through Polynomial Chaos.” Proceedings of the 2012 International Conference on Computational and Mathematical Methods in Science and Engineering. Ed. Jesus Vigo-Aguiar. Vol. 2. CMMSE, 2012. 431–438. Print.