%A Thanh Xuyen Le
%A Trung Thanh Le
%A Linh Trung Nguyen
%A Thi Thuy Quynh Tran
%A Duc Thuan Nguyen
%T EEG Source Localization: A New Multiway Temporal - Spatial  Spectral Analysis
%X Accurate localization of epileptogenic zone is highly
meaningful for epilepsy diagnosis and treatment in general
and removal of the epileptogenic region in epilepsy surgery
in particular. In this paper, we present a robust method for
electroencephalography (EEG) source localization based on a new
multiway temporal–spatial–spectral (TSS) analysis for epileptic
spikes via graph signal processing and multiway blind source
separation. Instead of using the temporal behavior of the EEG
distributed sources, we first apply the graph wavelet transform
to the spatial variable for epilepsy tensor construction in order
to exploit latent information of the spatial domain. We then
apply the tensorial multiway blind source separation method
for estimating the sources and hence localizing them. Numerical
experiments on both synthetic and real data are carried out to
evaluate the effectiveness of the TSS analysis and to compare it
with two state-of-the-art types of analysis: space–time–frequency
(STF) and space–time–wave–vector (STWV). Experimental results
show that the proposed method is promising for epileptic
source estimation and localization.
%C Hanoi - Vietnam
%D 2019
%L SisLab3834