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According to the World Health Organization, about 50 million people worldwide suffer from epilepsy. The detection and treatment of epilepsy face great challenges.Electroencephalogram(EEG) is a significant research object widely used in diagnosis and treatment of epilepsy. In this paper, an adaptive feature learning model for EEG signals is proposed, which combines Huber loss function with adaptive weight penalty term.Firstly, each EEG signal is decomposed by intrinsic time-scale decomposition. S... 相似文献
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