ICA-Based EEG Spatio-temporal Dipole Source Localization: A Model Study
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.
KeywordsIndependence Component Analysis Localization Error Simplex Method Independent Component Analysis Dipole Source
Unable to display preview. Download preview PDF.
- 7.Kosugi, Y., Uemoto, N., Hayashi, Y., He, B.: Estimation of Intra-cranial Neural Activities by Means of Regularized Neural-network-based Inversion Techniques. Neurological Research 23 (2001) 435–446 Google Scholar