relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3834/
title: EEG Source Localization: A New Multiway Temporal - Spatial  Spectral Analysis
creator: Le, Thanh Xuyen
creator: Le, Trung Thanh
creator: Nguyen, Linh Trung
creator: Tran, Thi Thuy Quynh
creator: Nguyen, Duc Thuan
subject: Electronics and Communications
description: 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
type: Conference or Workshop Item
type: PeerReviewed
format: application/pdf
language: en
identifier: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3834/1/NICS2019_final_1570595451.pdf
identifier:   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.