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Reduced conductivity dependence method for increase of dipole localization accuracy in the EEG inverse problem

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Abstract
The uncertain conductivity value of brain tissue influences the accuracy of the EEG inverse problem solution. When using traditional least-squares minimization methods, the number of electrodes that is used as input in the EEG inverse problem has not an influence on the resolution. However, when including a selection procedure on a high number of electrodes, the localization error is decreased. The implemented procedure selects electrodes where their potential values are not greatly influenced by the uncertain conductivity value due to their physical location relatively to the source location. This paper shows that when using a high number of electrodes, the accuracy of the EEG inverse problem is increased.

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Chicago
Yitembe, Bertrand Russel, Guillaume Crevecoeur, Roger Van Keer, and Luc Dupré. 2010. “Reduced Conductivity Dependence Method for Increase of Dipole Localization Accuracy in the EEG Inverse Problem.” In IEEE Transactions on Biomedical Engineering, 58:1430–1440. New York, NY, USA: IEEE.
APA
Yitembe, B. R., Crevecoeur, G., Van Keer, R., & Dupré, L. (2010). Reduced conductivity dependence method for increase of dipole localization accuracy in the EEG inverse problem. IEEE Transactions on Biomedical Engineering (Vol. 58, pp. 1430–1440). Presented at the 14th Biennial IEEE Conference on Electromagnetic Field Computation (CEFC - 2010), New York, NY, USA: IEEE.
Vancouver
1.
Yitembe BR, Crevecoeur G, Van Keer R, Dupré L. Reduced conductivity dependence method for increase of dipole localization accuracy in the EEG inverse problem. IEEE Transactions on Biomedical Engineering. New York, NY, USA: IEEE; 2010. p. 1430–40.
MLA
Yitembe, Bertrand Russel, Guillaume Crevecoeur, Roger Van Keer, et al. “Reduced Conductivity Dependence Method for Increase of Dipole Localization Accuracy in the EEG Inverse Problem.” IEEE Transactions on Biomedical Engineering. Vol. 58. New York, NY, USA: IEEE, 2010. 1430–1440. Print.
@inproceedings{2116212,
  abstract     = {The uncertain conductivity value of brain tissue influences the accuracy of the EEG inverse problem solution. When using traditional least-squares minimization methods, the number of electrodes that is used as input in the EEG inverse problem has not an influence on the resolution. However, when including a selection procedure on a high number of electrodes, the localization error is decreased. The implemented procedure selects electrodes where their potential values are not greatly influenced by the uncertain conductivity value due to their physical location relatively to the source location. This paper shows that when using a high number of electrodes, the accuracy of the EEG inverse problem is increased.},
  author       = {Yitembe, Bertrand Russel and Crevecoeur, Guillaume and Van Keer, Roger and Dupr{\'e}, Luc},
  booktitle    = {IEEE Transactions on Biomedical Engineering},
  issn         = {0018-9294},
  language     = {eng},
  location     = {Chicago, IL, USA},
  number       = {5},
  pages        = {1430--1440},
  publisher    = {IEEE},
  title        = {Reduced conductivity dependence method for increase of dipole localization accuracy in the EEG inverse problem},
  url          = {http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=\&arnumber=5699349},
  volume       = {58},
  year         = {2010},
}