HybridEEGNet: A Convolutional Neural Network for EEG Feature Learning and Depression Discrimination

HybridEEGNet: A Convolutional Neural Network for EEG Feature Learning and Depression Discrimination

Electroencephalogram (EEG) measurement, being an appropriate approach to understanding the underlying mechanisms of the major depressive disorder (MDD), is used to discriminate between depressive and normal control. With the advancement of deep learning methods, many studies have designed deep learn...

Full description

Bibliographic Details
Main Authors: Zhijiang Wan, Jiajin Huang, Hao Zhang, Haiyan Zhou, Jie Yang, Ning Zhong
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
HybridEEGNet
convolutional neural network
depression discrimination
EEG
feature analysis
Online Access:https://ieeexplore.ieee.org/document/8981929/

Internet

https://ieeexplore.ieee.org/document/8981929/

Similar Items