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基于时空特征学习卷积神经网络的运动想象脑电解码方法 期刊论文
生物医学工程学杂志, 2021, 页码: 1-9
Authors:  褚亚奇;  朱波;  赵新刚;  赵忆文
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运动想象脑电  脑机接口  时空特征  卷积神经网络  信号解码  
一种脑部磁共振图像自动颅骨去除方法 专利
专利类型: 发明, 专利号: CN111612793A, 公开日期: 2020-09-01,
Inventors:  宋国立;  黄钲;  赵忆文;  赵新刚
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基于HoloLens眼镜的空间定位方法 专利
专利类型: 发明, 专利号: CN111207747A, 公开日期: 2020-05-29,
Inventors:  宋国立;  苏顺;  赵忆文;  赵新刚
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Decoding multiclass motor imagery EEG from the same upper limb by combining Riemannian geometry features and partial least squares regression 期刊论文
JOURNAL OF NEURAL ENGINEERING, 2020, 卷号: 17, 期号: 4, 页码: 1-18
Authors:  Chu YQ(褚亚奇);  Zhao XG(赵新刚);  Zou YJ(邹宜君);  Xu WL(徐卫良);  Song GL(宋国立);  Han JD(韩建达);  Zhao YW(赵忆文)
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motor imagery EEG  same upper limb  Riemannian geometry features  partial least squares regression  brain-machine interface  
A Closed-Loop Framework for the Inverse Kinematics of the 7 Degrees of Freedom Manipulator 期刊论文
Robotica, 2020, 页码: 1-10
Authors:  Song GL(宋国立);  Su S(苏顺);  Li YL(李英立);  Zhao XG(赵新刚);  Du HB(杜惠斌);  Han JD(韩建达);  Zhao YW(赵忆文)
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7-DOF manipulator  Redundant manipulator  UKF  Inverse kinematics  Closed-loop framework  
A Novel Camera Calibration Method Based on Multilevel-Edge-Fitting Ellipse-Shaped Analytical Model 期刊论文
IEEE Sensors Journal, 2020, 卷号: 20, 期号: 11, 页码: 5818-5826
Authors:  Su S(苏顺);  Luo Y(罗阳);  Yang KK(杨克克);  Gao ZY(高振远);  Zhao YW(赵忆文);  Zhao XG(赵新刚);  Song GL(宋国立)
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Camera calibration  spherical calibration plate  distortion bias  high precision calibration  
基于深度图像与三维栅格离线映射的机械臂环境建模方法 期刊论文
控制与决策, 2020, 卷号: 35, 期号: 7, 页码: 1537-1546
Authors:  李英立;  赵忆文;  王争;  张道辉;  赵新刚
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环境建模  深度图像  三维栅格  多传感器融合  离线映射  人机安全  
基于最优激励位姿序列的机械臂负载估计 期刊论文
机器人, 2020, 卷号: 42, 期号: 4, 页码: 503-512
Authors:  侯澈;  赵忆文;  张弼;  李英立;  赵新刚
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负载估计  静力学模型  粒子群滤波  工业机器人  
Continuous human gait tracking using sEMG signals 会议论文
42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society: Enabling Innovative Technologies for Global Healthcare, EMBC 2020, Montreal, QC, Canada, July 20-24, 2020
Authors:  Xiong DZ(熊德臻);  Zhang DH(张道辉)(,21);  Zhao XG(赵新刚);  Zhao YW(赵忆文)
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Application of innovative image processing methods and AdaBound-SE-DenseNet to optimize the diagnosis performance of meningiomas and gliomas 期刊论文
Biomedical Signal Processing and Control, 2020, 卷号: 59, 页码: 1-11
Authors:  Huang Z(黄钲);  Zhao YW(赵忆文);  Li X(李鑫);  Zhao XG(赵新刚);  Liu YH(刘云会);  Song GL(宋国立);  Luo Y(罗阳)
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Brain tumors  Brain region extraction  Iterative gamma correction  AdaBound-SE-DenseNet