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Quantitative Assessment of Hand Motor Function for Post-Stroke Rehabilitation Based on HAGCN and Multimodality Fusion 期刊论文
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2022, 卷号: 30, 页码: 2032-2041
作者:  Li, Chenguang;  Yang, Hongjun;  Cheng, Long;  Huang, Fubiao;  Zhao, Shuang;  Li, Dongyue;  Yan, Ruxiu
Adobe PDF(3198Kb)  |  收藏  |  浏览/下载：334/42  |  提交时间：2022/09/19
Hemorrhaging  Thumb  Stroke (medical condition)  Kinematics  Feature extraction  Wrist  Correlation  Hand motor function  quantitative assessment  multi-modality fusion  graph convolutional network  
Toward Improving Engagement in Neural Rehabilitation: Attention Enhancement Based on Brain-Computer Interface and Audiovisual Feedback 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2020, 卷号: 12, 期号: 4, 页码: 787-796
作者:  Wang, Jiaxing;  Wang, Weiqun;  Hou, Zeng-Guang
Adobe PDF(2031Kb)  |  收藏  |  浏览/下载：298/64  |  提交时间：2021/03/02
Avatars  Electroencephalography  Training  Games  Real-time systems  Task analysis  Stroke (medical condition)  Attention enhancement  brain–  computer interface (BCI)  electroencephalogram (EEG)  neural rehabilitation  virtual reality  
Fugl-Meyer hand motor imagination recognition for brain-computer interfaces using only fNIRS 期刊论文
COMPLEX & INTELLIGENT SYSTEMS, 2021, 页码: 11
作者:  Li, Chenguang;  Yang, Hongjun;  Cheng, Long
Adobe PDF(1767Kb)  |  收藏  |  浏览/下载：239/36  |  提交时间：2021/03/01
Brain-computer interface  Functional near-infrared spectroscopy (fNIRS)  Motor imagery  Classification  Empirical mode decomposition  
Quantitative Assessment of Upper-Limb Motor Function for Post-Stroke Rehabilitation Based on Motor Synergy Analysis and Multi-Modality Fusion 期刊论文
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2020, 卷号: 28, 期号: 4, 页码: 943-952
作者:  Wang, Chen;  Peng, Liang;  Hou, Zeng-Guang;  Li, Jingyue;  Zhang, Tong;  Zhao, Jun
Adobe PDF(2148Kb)  |  收藏  |  浏览/下载：310/49  |  提交时间：2020/06/22
Post-stroke hemiparesis  upper limb functional assessment  motor synergies  multi-modality fusion  motion capture technology  electromyography (EMG)