E2SGAN: EEG-to-SEEG translation with generative adversarial networks

E2SGAN: EEG-to-SEEG translation with generative adversarial networks

High-quality brain signal data recorded by Stereoelectroencephalography (SEEG) electrodes provide clinicians with clear guidance for presurgical assessments for epilepsy surgeries. SEEG, however, is limited to selected patients with epilepsy due to its invasive procedure. In this work, a brain signa...

Full description

Bibliographic Details
Main Authors: Mengqi Hu, Jin Chen, Shize Jiang, Wendi Ji, Shuhao Mei, Liang Chen, Xiaoling Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Neuroscience
Subjects:
EEG-SEEG mapping
GANs
epilepsy
signal synthesis
stereoelectroencephalography
deep learning
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2022.971829/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2022.971829/full

Similar Items