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Skull conductivity estimation for EEG source localization

Costa, Facundo Hernan and Batatia, Hadj and Oberlin, Thomas and Tourneret, Jean-Yves Skull conductivity estimation for EEG source localization. (2017) IEEE Signal Processing Letters, 24 (4). 422-426. ISSN 1070-9908

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Official URL: http://dx.doi.org/10.1109/LSP.2017.2669101

Abstract

A reliable leadfield matrix is needed to solve the magnetoencephalography/electroencephalography (M/EEG) source localization problem. The computation of this matrix requires sev- eral physical parameters, including the conductivity of the tissues that compose the subject’s head. Since it is not precisely known, we modify a recent Bayesian algorithm to estimate the skull conductivity jointly with the brain activity directly from the M/EEG measurements. Synthetic and real data are used to compare our technique with two optimization algorithms, showing that the pro- posed method is able to provide results of similar or better quality with the advantage of being applicable in a more general case.

Item Type:Article
Additional Information:Thanks to IEE editor. The original PDF of the article can be found at : http://ieeexplore.ieee.org/document/7855647/
HAL Id:hal-01681070
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
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Deposited By: Jean-yves TOURNERET
Deposited On:11 Jan 2018 11:26

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