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CluSem: Accurate clustering-based ensemble method to predict motor imagery tasks from multi-channel EEG data.

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第一作者： Md Ochiuddin,Miah

第一单位： Department of Computer Science & Engineering, United International University, United City, Badda, Dhaka 1212, Bangladesh. Electronic address: mmiah131145@bscse.uiu.ac.bd.

作者： Md Ochiuddin,Miah ^[1] ; Rafsanjani,Muhammod ^[2] ; Khondaker Abdullah Al,Mamun ^[2] ; Dewan Md,Farid ^[2] ; Shiu,Kumar ^[3] ; Alok,Sharma ^[4] ; Abdollah,Dehzangi ^[5]

作者单位： Department of Computer Science & Engineering, United International University, United City, Badda, Dhaka 1212, Bangladesh. Electronic address: mmiah131145@bscse.uiu.ac.bd. ^[1] Department of Computer Science & Engineering, United International University, United City, Badda, Dhaka 1212, Bangladesh. ^[2] School of Electrical and Electronic Engineering, Fiji National University, Suva, Fiji. Electronic address: shiu748@gmail.com. ^[3] Institute for Integrated and Intelligent Systems, Griffith University, Brisbane, Queensland, Australia; Center for Integrative Medical Sciences, RIKEN, Japan. Electronic address: alok.fj@gmail.com. ^[4] Department of Computer Science, Rutgers University, Camden, NJ, 08102, USA; Center for Computational and Integrative Biology, Rutgers University, Camden, NJ, 08102, USA. Electronic address: i.dehzangi@rutgers.edu. ^[5]

关键词 Brain Computer Interface (BCI)Brain Engineering Clustering Ensemble learning Human Machine Interface (HMI)Motor Imagery Electroencephalogram (MI-EEG)

医学主题词算法(Algorithms);聚类分析(Cluster Analysis);脑电描记术(Electroencephalography);想像(Imagination);运动(Movement)(Movement)

DOI 10.1016/j.jneumeth.2021.109373

PMID 34606773

发布时间 2021-11-03

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准确一般字义偏差语意偏离译文作用小提交