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A new parameter tuning approach for enhanced motor imagery EEG signal classification.

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第一作者： Shiu,Kumar

第一单位： Department of Electronics, Instrumentation & Control Engineering, School of Electrical & Electronics Engineering, Fiji National University, Samabula, Fiji.;School of Engineering and Physics, Faculty of Science, Technology & Environment, The University of the South Pacific, Suva, Fiji.

作者： Shiu,Kumar ^[1] ; Alok,Sharma ^[2]

作者单位： Department of Electronics, Instrumentation & Control Engineering, School of Electrical & Electronics Engineering, Fiji National University, Samabula, Fiji.;School of Engineering and Physics, Faculty of Science, Technology & Environment, The University of the South Pacific, Suva, Fiji. ^[1] School of Engineering and Physics, Faculty of Science, Technology & Environment, The University of the South Pacific, Suva, Fiji. alok.sharma@griffith.edu.au.;Institute for Integrated and Intelligent Systems (IIIS), Griffith University, Brisbane, Australia. alok.sharma@griffith.edu.au.;Laboratory for Medical Science Mathematics, RIKEN Center for Integrative Medical Sciences, Yokohama, 230-0045, Japan. alok.sharma@griffith.edu.au. ^[2]

关键词 Brain-computer interface (BCI)Filter tuning Genetic algorithm (GA)Motor imagery (MI)Temporal filters

医学主题词算法(Algorithms);脑电描记术(Electroencephalography);人类(Humans);运动活动(Motor Activity);结果可重复性(Reproducibility of Results);信号处理, 计算机辅助(Signal Processing, Computer-Assisted)

DOI 10.1007/s11517-018-1821-4

PMID 29616456

发布时间 2019-12-10

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准确一般字义偏差语意偏离译文作用小提交