eprintid: 3834
rev_number: 9
eprint_status: archive
userid: 315
dir: disk0/00/00/38/34
datestamp: 2019-12-24 04:36:55
lastmod: 2020-01-04 14:42:43
status_changed: 2019-12-24 04:36:55
type: conference_item
metadata_visibility: show
creators_name: Le, Thanh Xuyen
creators_name: Le, Trung Thanh
creators_name: Nguyen, Linh Trung
creators_name: Tran, Thi Thuy Quynh
creators_name: Nguyen, Duc Thuan
creators_id: xuyen.lethanh@hust.edu.vn
creators_id: letrungthanhtbt@gmail.com
creators_id: linhtrung@vnu.edu.vn
creators_id: quynhttt@vnu.edu.vn
creators_id: thuan.nguyenduc@hust.edu.vn
title: EEG Source Localization: A New Multiway Temporal - Spatial  Spectral Analysis
ispublished: pub
subjects: ECE
divisions: avitech
divisions: fac_fet
abstract: 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.
date: 2019
full_text_status: public
pres_type: paper
event_title: The 2019 6th NAFOSTED Conference on Information and Computer Science (NICS’19)
event_location: Hanoi - Vietnam
event_dates: 12 - 13/12/2019
event_type: conference
refereed: TRUE
citation:   Le, Thanh Xuyen and Le, Trung Thanh and Nguyen, Linh Trung and Tran, Thi Thuy Quynh and Nguyen, Duc Thuan  (2019) EEG Source Localization: A New Multiway Temporal - Spatial Spectral Analysis.  In: The 2019 6th NAFOSTED Conference on Information and Computer Science (NICS’19), 12 - 13/12/2019, Hanoi - Vietnam.     
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3834/1/NICS2019_final_1570595451.pdf