Interpretation of Frequency Channel-Based CNN on Depression Identification

Interpretation of Frequency Channel-Based CNN on Depression Identification

Online end-to-end electroencephalogram (EEG) classification with high performance can assess the brain status of patients with Major Depression Disabled (MDD) and track their development status in time with minimizing the risk of falling into danger and suicide. However, it remains a grand research...

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Bibliographic Details
Main Authors: Hengjin Ke, Cang Cai, Fengqin Wang, Fang Hu, Jiawei Tang, Yuxin Shi
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-12-01
Series:Frontiers in Computational Neuroscience
Subjects:
convolutional neural network (CNN)
interpretation
depression
EEG classification
attention
Online Access:https://www.frontiersin.org/articles/10.3389/fncom.2021.773147/full

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https://www.frontiersin.org/articles/10.3389/fncom.2021.773147/full

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