MAST-GCN: Multi-Scale Adaptive Spatial-Temporal Graph Convolutional Network for EEG-Based Depression Recognition

Recently, depression recognition through EEG has gained significant attention. However, two challenges have not been properly addressed in prior automated depression recognition and classification studies: 1) EEG data lacks an explicit topological structure. 2) Capturing spatio-temporal features of...

Celý popis

Podrobná bibliografie

Vydáno v:	IEEE transactions on affective computing Ročník 15; číslo 4; s. 1985 - 1996
Hlavní autoři:	Lu, Haifeng, You, Zhiyang, Guo, Yi, Hu, Xiping
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 01.10.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Affective computing Artificial neural networks attention Brain modeling Convolution Convolutional neural networks Depression Depression recognition EEG Electroencephalography Feature extraction graph convolutional network Spatiotemporal data Topology
ISSN:	1949-3045, 1949-3045
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!