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Soft/hard focalization in the EEG inverse problem

Missionnier, P.
Published in IEEE/SP 13th Workshop on Statistical Signal Processing, 2005 (SSP'05). Bordeaux (France) - Jul 17-20 - . 2005, p. 978-983
Abstract We present in this paper a novel statistical based focalized reconstruction method for the underdetermined EEG (electroencephalogram) inverse problem. The algorithm is based on the representation of non-Gaussian distributions as an infinite mixture of Gaussians (IMG) and relies on an iterative procedure consisting out of alternated variance estimation/linear inversion operations. By taking into account noise statistics, it performs implicit spurious data rejection and produces robust focalized solutions allowing for straightforward discrimination of active/non-active brain regions. We apply the proposed reconstruction procedure to average evoked potentials EEG data and compare the reconstruction results with the corresponding known physiological responses.
Keywords Additive noiseArtBrain modelingElectrodesElectroencephalographyHospitalsInverse problemsNoise robustnessPsychiatryVolume measurement
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Research groups Computer Vision and Multimedia Laboratory
Multimodal Interaction Group
Stochastic Information Processing Group
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ALECU, Teodor et al. Soft/hard focalization in the EEG inverse problem. In: IEEE/SP 13th Workshop on Statistical Signal Processing, 2005 (SSP'05). Bordeaux (France). [s.l.] : [s.n.], 2005. p. 978-983. doi: 10.1109/SSP.2005.1628737 https://archive-ouverte.unige.ch/unige:47712

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Deposited on : 2015-03-06

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