%K Electroencephalography; Engineering; Industrial engineering, Asymmetric activation; Brain source localization; Electrical tomography; Inversion techniques; Localization problems; Minimum norm estimate; Simulated dipoles; Source localization, Biomedical engineering
%X Several methods have been proposed over the past few decades as a solution to the brain sources localization problem using EEG signals. In this paper the performances of different brain source localization techniques, including the Minimum Norm Estimates (MNE), Low Resolution Electrical Tomography (LORETA) and Multiple Sparse Priors (MSP), are assessed and compared. Due to the lack of the baseline, the evaluation is conducted using simulated dipolar source distributions constrained to the cortical surface. We corroborate in the superiority of MSP over LORETA and MNE in accurately estimating the locations of the simulated sources, however we found that MNE and LORETA may account as a better measure for asymmetric activations. © 2014 IEEE.
%R 10.1109/IECBES.2014.7047651
%D 2014
%J IECBES 2014, Conference Proceedings - 2014 IEEE Conference on Biomedical Engineering and Sciences: "Miri, Where Engineering in Medicine and Biology and Humanity Meet"
%L scholars4579
%O cited By 3; Conference of 3rd IEEE Conference on Biomedical Engineering and Sciences, IECBES 2014 ; Conference Date: 8 December 2014 Through 10 December 2014; Conference Code:111205
%A R. Hyder
%A N. Kamel
%A T.B. Tang
%A J. Bornot
%I Institute of Electrical and Electronics Engineers Inc.
%T Brain source localization techniques: Evaluation study using simulated EEG data
%P 942-947