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TIE-EEGNet: Temporal Information Enhanced EEGNet for Seizure Subtype Classification

Electroencephalogram (EEG) based seizure subtype classification is very important in clinical diagnostics. However, manual seizure subtype classification is expensive and time-consuming, whereas automatic classification usually needs a large number of labeled samples for model training. This paper p...

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Main Authors: Ruimin Peng (Author), Changming Zhao (Author), Jun Jiang (Author), Guangtao Kuang (Author), Yuqi Cui (Author), Yifan Xu (Author), Hao Du (Author), Jianbo Shao (Author), Dongrui Wu (Author)
Format: Book
Published: IEEE, 2022-01-01T00:00:00Z.
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