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Journal Articles IEEE Signal Processing Letters Year : 2017

Skull conductivity estimation for EEG source localization

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.
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Dates and versions

hal-01681070 , version 1 (11-01-2018)

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Facundo Hernan Costa, Hadj Batatia, Thomas Oberlin, Jean-Yves Tourneret. Skull conductivity estimation for EEG source localization. IEEE Signal Processing Letters, 2017, 24 (4), pp.422-426. ⟨10.1109/LSP.2017.2669101⟩. ⟨hal-01681070⟩
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