Dynamic Multi-Graph Convolution-Based Channel-Weighted Transformer Feature Fusion Network for Epileptic Seizure Prediction
Electroencephalogram (EEG) based seizure prediction plays an important role in the closed-loop neuromodulation system. However, most existing seizure prediction methods based on graph convolution network only focused on constructing the static graph, ignoring multi-domain dynamic changes in deep gra...
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| Main Authors: | , , , , , |
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| Format: | Book |
| Published: |
IEEE,
2023-01-01T00:00:00Z.
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| Subjects: | |
| Online Access: | Connect to this object online. |
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