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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:467/56  |  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:460/113  |  Submit date:2015/07/05
Eeg-fnirs  HAnd Clenching Force And Speed  Motor Imagery  Joint Mutual Information (Jmi)  Extreme Learning Machines (Elms)