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Localization of current dipoles in a realistic head shape model by a magnetoence phalogram-multiple signal classification algorithm

Zhu Hong-Yi Li Jun Shen Jian-Qi He Sai-Ling

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Localization of current dipoles in a realistic head shape model by a magnetoence phalogram-multiple signal classification algorithm

Zhu Hong-Yi, Li Jun, Shen Jian-Qi, He Sai-Ling
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  • It has been proved that the magnetoencephalogram-multiple signal classification algorithm has many advantages over the general global optimization methods in localizing current dipoles in a spherically symmetrical conductor head model. Making use of this method, we can tell the total number of current dipoles conveniently and localize those dipoles one by one in a shorter time, simply by calculating generalized eigenvalues of a two- or three-dimensional matrix. In this paper, this method is used to localize the current dipoles in a realistic head shap e model. Numerical simulation demonstrates that this algorithm is effective and has great advantages in the localization of multiple dipoles.
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  • Abstract views:  6774
  • PDF Downloads:  648
  • Cited By: 0
Publishing process
  • Received Date:  18 September 2002
  • Accepted Date:  19 October 2002
  • Published Online:  20 July 2003

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