brain-computer interfaces; channel bank filters; electroencephalography; feature extraction; medical signal processing; particle swarm optimisation; sensor fusion; BCI system; EEG data; FI approach; LDA classifier; MI classification problem; PSO algorithm; SBCSP; brain activity; feature extraction; filter bank; fusion structure; fuzzy integral approach; information source; linear discriminant analysis; motor imagery classification; motor imagery task; multifusion brain-computer interface system; particle swarm optimization algorithm; subband common spatial pattern; Atmospheric measurements; Brain-computer interfaces; Classification algorithms; Electroencephalography; Feature extraction; Particle swarm optimization; Yttrium; Brain-Computer Interface (BCI); Fuzzy Integral (FI); Motor Imagery (MI); Particle Swarm Optimization (PSO); Sub-Band Common Spatial Pattern (SBCSP);
机译:使用多级粒子群优化的基于电机图像的BCI系统的通道和特征选择
机译:在脑机接口的用户系统适应过程中,用户体验可能会产生比运动影像相关控制任务更大的心率变异性
机译:基于电机图像的脑电脑界面系统传输学习的时空时间接头稀疏优化
机译:开发具有粒子群优化的新型多融合脑 - 计算机接口(BCI)系统,用于电动机图像任务
机译:对运动障碍者的协作式脑机接口(C-BCI)的评估。
机译:使用多级粒子群优化的基于电机图像的BCI系统的通道和特征选择
机译:基于Motor Imagery基于脑电电脑接口系统,通过群优化的模糊积分及其应用