Classification of ERP signal from amnestic mild cognitive impairment with type 2 diabetes mellitus using single-scale multi-input convolution neural network

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Classification of ERP signal from amnestic mild cognitive impairment with type 2 diabetes mellitus using single-scale multi-input convolution neural network

Background: The application of deep learning models to electroencephalogram (EEG) signal classification has recently become a popular research topic. Several deep learning models have been proposed to classify EEG signals in patients with various neurological diseases. However, no effective deep lea...

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Bibliographic Details
Main Authors:	Wen, Dong, Cheng, Zihao, Li, Jingjing, Zheng, Xinxiang, Yao, Wang, Dong, Xianling, Saripan, M. Iqbal, Li, Xiaoli, Yin, Shimin, Zhou, Yanhong
Format:	Article
Published:	Elsevier 2021
Online Access:	http://psasir.upm.edu.my/id/eprint/96396/

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