A framework for motor imagery with LSTM neural network.

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第一作者： Fangzhou,Xu

第一单位： International School for Optoelectronic Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China. Electronic address: xfz@qlu.edu.cn.

作者： Fangzhou,Xu ^[1] ; Xiaoyan,Xu ^[2] ; Yanan,Sun ^[3] ; Jincheng,Li ^[3] ; Gege,Dong ^[3] ; Yuandong,Wang ^[3] ; Han,Li ^[3] ; Lei,Wang ^[4] ; Yingchun,Zhang ^[5] ; Shaopeng,Pang ^[6] ; Sen,Yin ^[7]

作者单位： International School for Optoelectronic Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China. Electronic address: xfz@qlu.edu.cn. ^[1] Patent Examination Cooperation (Beijing) Center of the Patent Office, CNIPA, Beijing 100083, China. ^[2] International School for Optoelectronic Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China; School of Electrical Engineering and Automation, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China. ^[3] School of Electrical Engineering and Automation, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China. ^[4] Engineering Training Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China. ^[5] School of Electrical Engineering and Automation, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China. Electronic address: pang_shao_peng@163.com. ^[6] Department of Neurology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250012, China. Electronic address: ethan0827@163.com. ^[7]

关键词 Brain-computer interface (BCI)Long short-term memory (LSTM)Motor imagery (MI)

主题词算法(Algorithms);脑电描记术(Electroencephalography);想像(Imagination)

DOI 10.1016/j.cmpb.2022.106692

PMID 35248817

发布时间 2022-04-12

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