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The classification of motor imagery response: an accuracy enhancement through the ensemble of random subspace k-NN.

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第一作者： Mamunur,Rashid

第一单位： Faculty of Electrical and Electronics Engineering Technology, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia.

作者： Mamunur,Rashid ^[1] ; Bifta Sama,Bari ^[1] ; Md Jahid,Hasan ^[2] ; Mohd Azraai Mohd,Razman ^[2] ; Rabiu Muazu,Musa ^[3] ; Ahmad Fakhri,Ab Nasir ^[4] ; Anwar,P P Abdul Majeed ^[4]

作者单位： Faculty of Electrical and Electronics Engineering Technology, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia. ^[1] Innovative Manufacturing, Mechatronics and Sports Laboratory, Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia. ^[2] Centre for Fundamental and Continuing Education, Universiti Malaysia Terengganu, Kuala Nerus, Terengganu, Malaysia. ^[3] Innovative Manufacturing, Mechatronics and Sports Laboratory, Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia.;Centre for Software Development & Integrated Computing, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia. ^[4]

关键词 Brain-computer interface (BCI)Common spatial pattern (CSP)Electroencephalography (EEG)Ensemble learning Motor imagery Random forest

DOI 10.7717/peerj-cs.374

PMID 33817022

发布时间 2021-04-06

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The classification of motor imagery response: an accuracy enhancement through the ensemble of random subspace k-NN.

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