An improved graph convolutional neural network for EEG emotion recognition
B Xu, X Zhang, X Zhang, B Sun, Y Wang - Neural Computing and …, 2024 - Springer
Dynamic uncertainty of the relationship among brain regions is an important limiting factor in
electroencephalography (EEG)-based emotion recognition. This uncertainty stems from …
electroencephalography (EEG)-based emotion recognition. This uncertainty stems from …
A Hybrid Graph Neural Network for Enhanced EEG-Based Depression Detection
Y Wang, W Zheng, Y Li, H Yang - arxiv preprint arxiv:2410.18103, 2024 - arxiv.org
Graph neural networks (GNNs) are becoming increasingly popular for EEG-based
depression detection. However, previous GNN-based methods fail to sufficiently consider …
depression detection. However, previous GNN-based methods fail to sufficiently consider …
EEG-Based Depression Recognition Using Time-Frequency Convolutional Networks
J Su, T Song - 2023 16th International Congress on Image and …, 2023 - ieeexplore.ieee.org
Accurate and timely diagnosis of depression is crucial for effective mental health intervention
and treatment. However, existing diagnostic methods often rely on subjective assessments …
and treatment. However, existing diagnostic methods often rely on subjective assessments …