Cargando…
Multi-Dimensional Enhanced Seizure Prediction Framework Based on Graph Convolutional Network
In terms of seizure prediction, how to fully mine relational data information among multiple channels of epileptic EEG? This is a scientific research subject worthy of further exploration. Recently, we propose a multi-dimensional enhanced seizure prediction framework, which mainly includes informati...
Autores principales: | Chen, Xin, Zheng, Yuanjie, Dong, Changxu, Song, Sutao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8417243/ https://www.ncbi.nlm.nih.gov/pubmed/34489667 http://dx.doi.org/10.3389/fninf.2021.605729 |
Ejemplares similares
-
Efficient graph convolutional networks for seizure prediction using scalp EEG
por: Jia, Manhua, et al.
Publicado: (2022) -
Multi-scale and attention enhanced graph convolution network for skeleton-based violence action recognition
por: Yang, Huaigang, et al.
Publicado: (2022) -
An Invertible Dynamic Graph Convolutional Network for Multi-Center ASD Classification
por: Chen, Yueying, et al.
Publicado: (2022) -
Multi-View Feature Enhancement Based on Self-Attention Mechanism Graph Convolutional Network for Autism Spectrum Disorder Diagnosis
por: Zhao, Feng, et al.
Publicado: (2022) -
Spatial-Temporal Attention Mechanism and Graph Convolutional Networks for Destination Prediction
por: Li, Cong, et al.
Publicado: (2022)