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Multiple Dipole Source Position and Orientation Estimation using non-invasive EEG Signals

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posted on 2022-09-12, 13:57 authored by Saina Namazifard, Kamesh SubbaraoKamesh Subbarao

The problem of precise estimation of the position and orientation of multiple dipoles using synthetic EEG signals is considered in this paper. A nonlinear constrained optimization problem with regularization is solved and the results com-pared with popular research codes namely EEGLAB. A thorough sensitivity analysis of the estimation algorithm to the parameters in the assumed signal measurement model is conducted. The numerical results and comparisons with the EEGLAB show very good agreement, with little pre-processing required for the acquired data


EEGLAB tutorial data

https://eeglab.org/tutorials/tutorial data.html

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Email Address of Submitting Author

subbarao@uta.edu

Submitting Author's Institution

The University of Texas at Arlington

Submitting Author's Country

  • United States of America