Channel swapping of EEG signals for deep learning‐based seizure detection
Yayan Pan,
Fangying Dong,
Wei Yao
et al.
Abstract:The purpose of epilepsy detection is to determine whether epilepsy has occurred by analysing the patient's electroencephalogram (EEG) signals. Compared to traditional methods, epilepsy detection methods based on deep learning have achieved significant improvements in detection accuracy. However, when the number of training samples is limited, the model's detection performance often significantly declines. To address this issue, here a sample enhancement method based on electroencephalogram signal channel swapp… Show more
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