TY  - CONF
ID  - SisLab3834
UR  - https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3834/
A1  - Le, Thanh Xuyen
A1  - Le, Trung Thanh
A1  - Nguyen, Linh Trung
A1  - Tran, Thi Thuy Quynh
A1  - Nguyen, Duc Thuan
Y1  - 2019///
N2  - 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.
TI  - EEG Source Localization: A New Multiway Temporal - Spatial  Spectral Analysis
M2  - Hanoi - Vietnam
AV  - public
T2  - The 2019 6th NAFOSTED Conference on Information and Computer Science (NICS?19)
ER  -