A Multi-stream Deep Learning Model for EEG-based Depression Identification
Author:
Affiliation:
1. Northwestern Polytechnical University,School of Computer Science,Xi’an,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9994793/9994847/09995246.pdf?arnumber=9995246
Reference26 articles.
1. SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition
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3. GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-Resolved EEG Motor Imagery Signals
4. A new model for learning in graph domains
5. A major depressive disorder diagnosis approach based on EEG signals using dictionary learning and functional connectivity features
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1. The Combination of a Graph Neural Network Technique and Brain Imaging to Diagnose Neurological Disorders: A Review and Outlook;Brain Sciences;2023-10-16
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