...
机译:使用变分模式分解和具有表面电灰度信号的复合置换熵指数的手动运动分类
School of Mechanical Engineering Hefei University of Technology Hefei 230009 China;
Aerospace System Engineering Shanghai Shanghai 201109 China;
School of Mechanical Engineering Hefei University of Technology Hefei 230009 China;
School of Electronics and Information Engineering Anhui University Hefei 230009 China;
School of Mechanical Engineering Hefei University of Technology Hefei 230009 China;
School of Mechanical Engineering Hefei University of Technology Hefei 230009 China;
VMD; sEMG; Permutation entropy; Identification of hand movement; Classification;
机译:使用基于表面肌电信号的基于可调Q小波变换的滤波器组对手部动作进行自动分类
机译:基于多方法集成的手部运动表面肌电信号特征提取与分类
机译:基于多方法集成的手动表面电灰度信号特征提取和分类
机译:表面肌电信号的适当AR建模及其在手活动分类中的应用
机译:使用人工神经网络从表面肌电信号估计手力。
机译:使用小波加权置换熵进行表面肌电图的特征提取用于手动识别
机译:使用置换熵和广义线性模型作为分类器的正常和前IEG EEG信号的分类
机译:基于肌电信号和眼瞄准跟踪的混合式无人机人机界面的研制。