EEG preprocessing for synchronization estimation and epilepsy lateralization

Author

Vélez-Pérez, H. ; Romo-Vázquez, R. ; Ranta, R. ; Louis-Dorr, V. ; Maillard, L.

Author_Institution

Depto. Electron., CUCEI-UDG, Guadalajara, Mexico

fYear

2011

fDate

Aug. 30 2011-Sept. 3 2011

Firstpage

5028

Lastpage

5031

Abstract

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.

Keywords

blind source separation; electroencephalography; medical signal processing; neurophysiology; signal classification; signal denoising; synchronisation; wavelet transforms; EEG preprocessing; EEG recordings; artifact removal; blind source separation; epilepsy lateralization; noise cancelling; signal classification; synchronization analysis; synchronization estimation; wavelet denoising; Electroencephalography; Epilepsy; Indexes; Noise; Scalp; Synchronization; Adolescent; Adult; Algorithms; Brain; Cortical Synchronization; Diagnosis, Computer-Assisted; Epilepsy; Female; Functional Laterality; Humans; Male; Middle Aged; Reproducibility of Results; Sensitivity and Specificity; Young Adult;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE

Conference_Location

Boston, MA

ISSN

1557-170X

Print_ISBN

978-1-4244-4121-1

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2011.6091246

Filename

6091246