机译:基于双树复小波变换和自适应模型选择的燕子脑电信号运动图像检测
Institute for Infocomm Research, Agency for Science, Technology and Research (A~*STAR), Singapore;
Institute for Infocomm Research, Agency for Science, Technology and Research (A~*STAR), Singapore;
Tan Tock Seng Hospital Rehabilitation Centre, Singapore;
Tan Tock Seng Hospital Rehabilitation Centre, Singapore;
Institute for Infocomm Research, Agency for Science, Technology and Research (A~*STAR), Singapore;
Institute for Infocomm Research, Agency for Science, Technology and Research (A~*STAR), Singapore;
Institute for Infocomm Research, Agency for Science, Technology and Research (A~*STAR), Singapore;
Institute for Infocomm Research, Agency for Science, Technology and Research (A~*STAR), Singapore;
motor imagery; brain-computer interface; swallowing; dysphagia; tongue protrusion;
机译:使用双树复数小波变换域中的自动选择特征从脑电信号中识别运动图像运动
机译:基于双树复小波变换和机器学习算法的脑电图癫痫发作检测与分类
机译:基于双树复小波变换和机器学习算法的脑电图癫痫发作检测与分类
机译:基于动态启动和双树复小波特征的吞咽脑电信号运动图像分类
机译:双树复小波变换在突发检测和射频指纹分类中的应用
机译:基于双树复小波变换和机器学习算法的脑电图癫痫发作检测与分类
机译:基于双树复杂小波变换和机器学习算法的EEG癫痫癫痫发作检测和分类
机译:双树复小波变换在突发检测和射频指纹分类中的应用