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DEEP LEARNING-BASED EEG FEATURE NORMALIZATION SYSTEM AND METHOD
DEEP LEARNING-BASED EEG FEATURE NORMALIZATION SYSTEM AND METHOD
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机译:基于深度学习的EEG功能归一化系统和方法
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摘要
The present invention relates to a system and method for normalizing EEG features based on deep learning, wherein the EEG feature detector learns the EEG measured from the user based on deep learning to detect the EEG feature, and the resting EEG remover is detected It removes the EEG in the resting state from the EEG feature, and the EEG feature normalization unit includes an EEG feature normalizer that normalizes the EEG feature from which the EEG in the resting state has been removed. Analysis can be provided to improve analysis efficiency.
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