EEG preprocessing for synchronization estimation and epilepsy lateralization

Hugo Velez-Perez (1, 2) , Rebeca Romo-Vázquez (1, 2) , Radu Ranta (1) , Valérie Louis-Dorr (1) , Louis Maillard (1, 3)

1 CRAN - Centre de Recherche en Automatique de Nancy
2 CUCEI - Centro Universitario de Ciencias Exactas e Ingenierías
3 Service de neurologie [CHRU Nancy]

The global framework of this paper is the synchronization analysis in EEG recordings. Two main objectives are pursued: the evaluation of the synchronization estimation for lateralization purposes in epileptic EEGs and the evaluation of the effect of the preprocessing (artifact and noise cancelling by blind source separation, wavelet denoising and classification) on the synchronization analysis. We propose a new global synchronization index, based on the classical cross power spectrum, estimated for each cerebral hemisphere. After preprocessing, the proposed index is able to correctly lateralize the epileptic zone in over 90% of the cases.

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Hugo Velez-Perez, Rebeca Romo-Vázquez, Radu Ranta, Valérie Louis-Dorr, Louis Maillard. EEG preprocessing for synchronization estimation and epilepsy lateralization. 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC '11, Aug 2011, Boston, United States. pp.CDROM. ⟨hal-00603721⟩