Spatio-temporal-spectral hierarchical graph convolutional network with semisupervised active learning for patient-specific seizure prediction

Y Li, Y Liu, YZ Guo, XF Liao, B Hu… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Graph theory analysis using electroencephalogram (EEG) signals is currently an advanced
technique for seizure prediction. Recent deep learning approaches, which fail to fully …
被引用次数：91 相关文章

Spatio-Temporal-Spectral Hierarchical Graph Convolutional Network With Semisupervised Active Learning for Patient-Specific Seizure Prediction.

Y Li, Y Liu, YZ Guo, XF Liao, B Hu… - IEEE Transactions on …, 2022 - europepmc.org
Graph theory analysis using electroencephalogram (EEG) signals is currently an advanced
technique for seizure prediction. Recent deep learning approaches, which fail to fully …

Spatio-Temporal-Spectral Hierarchical Graph Convolutional Network With Semisupervised Active Learning for Patient-Specific Seizure Prediction

Y Li, Y Liu, YZ Guo, XF Liao, B Hu, T Yu - 2021 - ir.lzu.edu.cn
摘要Graph theory analysis using electroencephalogram (EEG) signals is currently an
advanced technique for seizure prediction. Recent deep learning approaches, which fail to …

Spatio-Temporal-Spectral Hierarchical Graph Convolutional Network With Semisupervised Active Learning for Patient-Specific Seizure Prediction

Y Li, Y Liu, YZ Guo, XF Liao… - IEEE transactions on …, 2022 - pubmed.ncbi.nlm.nih.gov
Graph theory analysis using electroencephalogram (EEG) signals is currently an advanced
technique for seizure prediction. Recent deep learning approaches, which fail to fully …