Resting-state EEG signal classification of amnestic mild cognitive impairment with type 2 diabetes mellitus based on multispectral image and convolutional neural network-论文-万方医学网

Resting-state EEG signal classification of amnestic mild cognitive impairment with type 2 diabetes mellitus based on multispectral image and convolutional neural network

导出原文传递

翻译打印收藏纠错

作者： Wen, Dong ^[1] ; Zhou, Yanhong ^[2] ; Li, Peng ^[3] ; Zhang, Peng ^[4] ; Li, Jihui ^[5] ; Wang, Yunxue ; Li, Xiaoli ; Bian, Zhijie ; Yin, Shimin ; Xu, Yuchen

作者单位： Beijing Friendship Hosp ^[1] Yanshan Univ ^[2] Beijing Normal Univ ^[3] First Middle Sch Qinhuangdao City ^[4] Chinese Peoples Liberat Army ^[5]

关键词 resting-state EEG signal aMCI with T2DM multispectral image convolutional neural network ALZHEIMERS-DISEASE DEMENTIA REPRESENTATION PROGRESSION RHYTHMS TIME

发布时间 2022-06-07

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交

浏览0

相似文献

中文期刊
外文期刊
学位论文
会议论文

检索历史清除

Resting-state EEG signal classification of amnestic mild cognitive impairment with type 2 diabetes mellitus based on multispectral image and convolutional neural network

相似文献

相关期刊

参考文献：
指定格式：	NoteExpress EndNote RefWorks NoteFirst

检索历史 清除

Resting-state EEG signal classification of amnestic mild cognitive impairment with type 2 diabetes mellitus based on multispectral image and convolutional neural network

相似文献

相关期刊

检索历史清除