Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran;
Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran;
Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran;
Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran;
Electroencephalography; Feature extraction; Classification algorithms; Training data; Spatial filters; Band-pass filters;
机译:基于脑电信号特征选择和分类算法的睡眠阶段分类比较研究。
机译:物联网环境下基于新颖机器学习的运动图像脑电信号分类特征选择
机译:基于CSP的特征选择方法的认知图像EEG信号分类
机译:使用弹性网的时空特征选择eEG信号的分类
机译:用于振动和音频信号分类的高级功能和功能选择方法。
机译:基于简单随机抽样和顺序特征选择的癫痫脑电信号分类
机译:使用角度调制模拟卡尔曼滤波器进行特征选择以对脑电信号进行峰值分类