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Arxiv
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SCFNet:A Transferable IIIC EEG Classification Network
- A neural network architecture called SCFNet is proposed for EEG signal classification.
- The feature extractor of the model is an RCNN network with single-channel input.
- EEG-SCFNet improves accuracy by 4% compared to the baseline model.
- EEG-SCFNet maintains performance even with different channel leads.
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