A Feature Tensor-Based Epileptic Detection Model Based on Improved Edge Removal Approach for Directed Brain Networks

A Feature Tensor-Based Epileptic Detection Model Based on Improved Edge Removal Approach for Directed Brain Networks

Electroencephalograph (EEG) plays a significant role in the diagnostics process of epilepsy, but the detection rate is unsatisfactory when the length of interictal EEG signals is relatively short. Although the deliberate attacking theories for undirected brain network based on node removal method ca...

Full description

Bibliographic Details
Main Authors: Chuancheng Song, Youliang Huo, Junkai Ma, Weiwei Ding, Liye Wang, Jiafei Dai, Liya Huang
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-12-01
Series:Frontiers in Neuroscience
Subjects:
short-term EEG data
edge removal
epileptic detection
feature tensor
directed brain network
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2020.557095/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2020.557095/full

Similar Items