Localization of spatially distributed brain sources after a tensor-based preprocessing of interictal epileptic EEG dataReportar como inadecuado




Localization of spatially distributed brain sources after a tensor-based preprocessing of interictal epileptic EEG data - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

1 PANAMA - Parcimonie et Nouveaux Algorithmes pour le Signal et la Modélisation Audio Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE 2 LTSI - Laboratoire Traitement du Signal et de l-Image 3 Technicolor R & I Cesson Sévigné

Abstract : This paper addresses the localization of spatially distributed sources from interictal epileptic electroencephalo-graphic data after a tensor-based preprocessing. Justifying the Canonical Polyadic CP model of the space-time-frequency and space-time-wave-vector tensors is not an easy task when two or more extended sources have to be localized. On the other hand, the occurrence of several amplitude modulated spikes originating from the same epileptic region can be used to build a space-time-spike tensor from the EEG data. While the CP model of this tensor appears more justified, the exact computation of its loading matrices can be limited by the presence of highly correlated sources or-and a strong background noise. An efficient extended source localization scheme after the tensor-based preprocessing has then to be set up. Different strategies are thus investigated and compared on realistic simulated data: the -disk algorithm- using a precomputed dictionary of circular patches, a standardized Tikhonov regularization and a fused LASSO scheme.





Autor: L Albera - H Becker - A Karfoul - Rémi Gribonval - A Kachenoura - S Bensaid - Lotfi Senhadji - A Hernandez - I Merlet -

Fuente: https://hal.archives-ouvertes.fr/



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