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ICA-Based EEG Spatio-temporal Dipole Source Localization: A Model Study

  • Ling Zou
  • Shan-An Zhu
  • Bin He
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3973)

Abstract

In this paper, we examine the performance of an Independent Component Analysis (ICA) based dipole localization approach to localize multiple source dipoles under noisy environment. Uncorrelated noise of up to 40% was added to scalp EEG signals. The performance of the ICA-based algorithm is compared with the conventional localization procedure using Simplex method. The present simulation results indicate the robustness of the ICA-based approach in localizing multiple dipoles of independent sources.

Keywords

Independence Component Analysis Localization Error Simplex Method Independent Component Analysis Dipole Source 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Ling Zou
    • 1
  • Shan-An Zhu
    • 2
  • Bin He
    • 3
  1. 1.Department of Computer Science and TechnologyJiangsu Polytechnic UniversityChina
  2. 2.College of Electrical EngineeringZhejiang UniversityHangzhouChina
  3. 3.Dept. of Biomedical EngineeringUniversity of MinnesotaMinneapolisUSA

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