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Rapid Prediction of Respiratory Motion Based on Bidirectional Gated Recurrent Unit Network 期刊论文
IEEE Access, 2020, 卷号: 8, 页码: 49424-49435
Authors:  Yu SM(郁树梅);  Wang, Jiateng;  Liu JG(刘金国);  Sun RC(孙荣川);  Kuang, Shaolong;  Sun LN(孙立宁)
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Radiosurgery  respiratory motion predicting  Bi-GRU  LSTM  
基于运动想象的脑机接口及其应用研究 学位论文
博士, 沈阳: 中国科学院沈阳自动化研究所, 2019
Authors:  邹宜君
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脑机接口  脑电信号  独立成分分析  共空间模式滤波  
Learning joint space–time–frequency features for EEG decoding on small labeled data 期刊论文
Neural Networks, 2019, 卷号: 114, 页码: 67-77
Authors:  Zhao DY(赵冬晔);  Tang FZ(唐凤珍);  Si BL(斯白露);  Feng XS(封锡盛)
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Brain-computer interfaces  Convolutional neural network  Joint space–time–frequency feature learning  Subject-to-subject weight transfer  Small labeled data  
An inter-subject model to reduce the calibration time for motion imagination-based brain-computer interface 期刊论文
Medical and Biological Engineering and Computing, 2019, 卷号: 57, 期号: 4, 页码: 939-952
Authors:  Zou YJ(邹宜君);  Zhao XG(赵新刚);  Chu YQ(褚亚奇);  Zhao YW(赵忆文);  Xu WL(徐卫良);  Han JD(韩建达)
View  |  Adobe PDF(1377Kb)  |  Favorite  |  View/Download:233/62  |  Submit date:2018/12/16
Brain-computer interface (BCI)  Electroencephalogram (EEG)  Machine learning  Movement imagination  Common spatial pattern  Inter-subject model  
基于卷积神经网络的自适应样本加权脑机接口建模 期刊论文
信息与控制, 2019, 卷号: 48, 期号: 6, 页码: 658-665
Authors:  邹宜君;  赵新刚;  徐卫良;  韩建达
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脑机接口  卷积神经网络  样本加权  
NIRS-based classification of clench force and speed motor imagery with the use of empirical mode decomposition for BCI 期刊论文
Medical Engineering and Physics, 2015, 卷号: 37, 期号: 3, 页码: 280-286
Authors:  Yin XX(尹旭贤);  Xu BL(徐保磊);  Jiang ZH(蒋长好);  Fu YF(伏云发);  Wang ZD(王志东);  Li HY(李洪谊);  Shi G(石刚)
View  |  Adobe PDF(1679Kb)  |  Favorite  |  View/Download:497/69  |  Submit date:2015/03/17
Brain-computer Interface(Bci)  Near-infrared Spectroscopy(Nirs)  Empirical Mode Decomposition(Emd)  Joint Mutual Information(Jmi)  
A hybrid BCI based on EEG and fNIRS signals improves the performance of decoding motor imagery of both force and speed of hand clenching 期刊论文
JOURNAL OF NEURAL ENGINEERING, 2015, 卷号: 12, 期号: 3
Authors:  Yin XX(尹旭贤);  Xu BL(徐保磊);  Jiang ZH(蒋长好);  Fu YF(伏云发);  Wang ZD(王志东);  Li HY(李洪谊);  Shi G(石刚)
View  |  Adobe PDF(1428Kb)  |  Favorite  |  View/Download:544/154  |  Submit date:2015/07/05
Eeg-fnirs  HAnd Clenching Force And Speed  Motor Imagery  Joint Mutual Information (Jmi)  Extreme Learning Machines (Elms)  
基于EEG和fNIRS的多模态脑-机接口系统研究 学位论文
博士, 沈阳: 中国科学院沈阳自动化研究所, 2014
Authors:  徐保磊
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脑-机接口  运动想象  运动参数想象  脑电  功能性近红外光谱  多模态  
Phase Information for Classification Between Clench Speed and Clench Force Motor Imagery 期刊论文
Sensors & Transducers, 2014, 卷号: 170, 期号: 5, 页码: 234-240
Authors:  Xu BL(徐保磊);  Fu YF(伏云发);  Shi G(石刚);  Yin XX(尹旭贤);  Wang ZD(王志东);  Li HY(李洪谊)
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Phase  Brain-computer Interface (Bci)  Motor Parameters Imagery  Memd  Hilbert Transform  
Improving Classification by Feature Discretization and Optimization for fNIRS-based BCI 期刊论文
Journal of Biomimetics Biomaterials and Tissue Engineering, 2014, 卷号: 19, 期号: 1, 页码: 1-5
Authors:  Xu BL(徐保磊);  Fu YF(伏云发);  Shi G(石刚);  Yin XX(尹旭贤);  Wang ZD(王志东);  Li HY(李洪谊)
View  |  Adobe PDF(825Kb)  |  Favorite  |  View/Download:240/48  |  Submit date:2014/12/29
Brain Computer Interface  Bci  Fnirs  Feature Discretization  Feature Selection