TY  - CONF
ID  - SisLab3700
UR  - https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3700/
A1  - Le, Thanh Xuyen
A1  - Le, Trung Thanh
A1  - Nguyen, Linh Trung
A1  - Tran, Thi Thuy Quynh
A1  - Nguyen, Duc Thuan
Y1  - 2019/11/21/
N2  - To help analyze electroencephalography (EEG) data for epilepsy, we propose a temporal?spatial?spectral tensor tensor representation for epileptic spikes via graph signal processing. Instead of using the temporal behavior of the sources, we apply the graph wavelet transform to the spatial variable for constructing the new representation of the epilepsy tensor, in order to exploit latent information of the spatial domain. To illustrate the usefulness of the proposed method for EEG tensor representation, we decompose this tensor to separate EEG sources. Simulation results on real EEG data of a patient diagnosed of epilepsy indicated that our proposed method of representation is promising in estimating the epileptic sources.
TI  - EEG tensor representation using graph signal processing
M2  - Hanoi, Vietnam
AV  - none
T2  - 2019 KICS Korea-Vietnam International Joint Workshop on Communications and Information Sciences
ER  -