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Published in last 1 year |  In last 2 years |  In last 3 years |  All Please wait a minute... For Selected: Download Citations EndNote Ris BibTeX Toggle Thumbnails Select Mental Workload Classification Based on Visual and Operational EEG Signals QU Hongquan, LIU Yuzhe, PANG Liping, SHAN Yiping Journal of Jishou University(Natural Sciences Edition)    2022, 43 (1): 31-37.   DOI: 10.13438/j.cnki.jdzk.2022.01.006 Abstract （457）      PDF（pc） （1641KB）（137）       Knowledge map    Save A classification method is proposed based on EEG independent component features for the mental workload classification of visual and operational task.First,the independent component analysis method is used to decompose the independent components of the EEG signals from the mixed EEG signals;then the energy features of the four different frequency bands of the EEG independent components are extracted;and the energy features are classified.The mental workload classification experiments were carried out based on EEG signal features and EEG independent component features respectively,and the classification accuracy was 60.52% and 86.14%,with the latter increased by 42.33%. Reference | Related Articles | Metrics | Comments（0） Select Image Denoising Based on New Nonlinear Multigrid Method HAN Fen, YANG Fenlin Journal of Jishou University(Natural Sciences Edition)    2022, 43 (1): 38-42.   DOI: 10.13438/j.cnki.jdzk.2022.01.007 Abstract （510）      PDF（pc） （5206KB）（125）       Knowledge map    Save A new nonlinear multigrid (NM) method is constructed by setting effective restriction operator and interpolation operator for differential curvature,and this method is applied to TVP model based on differential curvature.The experimental results show that the peak signal-to-noise ratio (PSNR) of images processed by the new method is significantly higher than that of the fixed point iteration (FP) method,and the convergence speed is 2~3 times that of the fixed point iteration method. Reference | Related Articles | Metrics | Comments（0）