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CASIA OpenIR
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A Novel Approach to the Analysis of Altered Human Motor Synergistic Structures 会议论文
, Macau, China, November 9-11
作者:  Jingyao Chen;  Chen Wang;  Ningcun Xu;  Zeng-Guang Hou;  Liang Peng;  Pingye Deng;  Pu Zhang;  Chutian Zhang
Adobe PDF(543Kb)  |  收藏  |  浏览/下载：30/12  |  提交时间：2024/06/21
EEG-Based Focus of Attention Tracking and Regulation During Dual-Task Training for Neural Rehabilitation of Stroke Patients 期刊论文
IEEE Transactions on Biomedical Engineering, 2022, 卷号: 70, 期号: 3, 页码: 920-930
作者:  Wang, Jiaxing;  Wang, Weiqun;  Hou, Zeng-Guang
Adobe PDF(1659Kb)  |  收藏  |  浏览/下载：50/19  |  提交时间：2024/06/03
BGL-Net: A brain-inspired global-local information fusion network for Alzheimer’s disease based on sMRI 期刊论文
IEEE Transactions on Cognitive and Developmental Systems, 2022, 卷号: doi: 10.1109/TCDS.2022.3204782, 页码: 1-9
作者:  Fan, Chen-Chen;  Yang, Hongjun;  Peng, Liang;  Zhou, Xiao-Hu;  Ni, Zhen-Liang;  Zhou, Yan-Jie;  Chen, Sheng;  Hou, Zeng-Guang
Adobe PDF(1263Kb)  |  收藏  |  浏览/下载：174/35  |  提交时间：2023/06/02
Design and Validation of an Asymmetric Bowden-Cable-Driven Series Elastic Actuator 会议论文
, Dali, China, 2019.12
作者:  Ning Sun;  Long Cheng;  Lin Tian;  Zeng-Guang Hou;  Min Tan
Adobe PDF(4602Kb)  |  收藏  |  浏览/下载：189/59  |  提交时间：2022/08/29
The Assessment of Upper-Limb Spasticity Based on a Multi-Layer Process Using a Portable Measurement System 期刊论文
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2021, 卷号: 29, 页码: 2242-2251
作者:  Wang, Chen;  Peng, Liang;  Hou, Zeng-Guang;  Zhang, Pu
Adobe PDF(1907Kb)  |  收藏  |  浏览/下载：173/15  |  提交时间：2021/12/28
Spasticity quantification  portable assessment device  modified genetic algorithm  ensemble empirical mode decomposition (EEMD)  multi-layer fusion  
Personalized gait trajectory generation based on anthropometric features using Random Forest 期刊论文
Journal of Ambient Intelligence and Humanized Computing, 2019, 期号: 1, 页码: 1-12
作者:  Shixin Ren;  Weiqun Wang;  Zeng-Guang Hou;  Badong Chen;  Xu Liang;  Liang Peng
Adobe PDF(2042Kb)  |  收藏  |  浏览/下载：190/54  |  提交时间：2021/07/01
Personalized gait  Gait generation  Random Forest  Anthropometric features  Rehabilitation training  
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：343/74  |  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  
Engagement Enhancement Based on Human-in-the-Loop Optimization for Neural Rehabilitation 期刊论文
FRONTIERS IN NEUROROBOTICS, 2020, 卷号: 12, 期号: 无, 页码: 11
作者:  Wang, Jiaxing;  Wang, Weiqun;  Ren, Shixin;  Shi, Weiguo;  Hou, Zeng-Guang
Adobe PDF(2370Kb)  |  收藏  |  浏览/下载：341/79  |  提交时间：2021/01/06
human-in-the-loop optimization  EEG based neural engagement  sEMG based muscle activation  tracking accuracy  neural rehabilitation  
Anthropometric Features Based Gait Pattern Prediction Using Random Forest for Patient-Specific Gait Training 会议论文
Neural Information Processing, Siem Reap, Cambodia, December 13-16, 2018
作者:  Shixin Ren;  Weiqun Wang;  Zeng-Guang Hou;  Xu, Liang;  Jiaxing Wang;  Liang Peng
Adobe PDF(730Kb)  |  收藏  |  浏览/下载：109/37  |  提交时间：2020/10/29
Patient-specific gait, Anthropometric features, Random forest, Gait prediction  
A Multimodal Framework Based on Integration of Cortical and Muscular Activities for Decoding Human Intentions About Lower Limb Motions 期刊论文
IEEE Transactions on Biomedical Circuits and Systems, 2017, 卷号: 11, 期号: 4, 页码: 889–899
作者:  Cui, Chengkun;  Bian, Gui-Bin;  Hou, Zeng-Guang;  Zhao, Jun;  Zhou, Hao
浏览  |  Adobe PDF(766Kb)  |  收藏  |  浏览/下载：488/121  |  提交时间：2018/05/31
Electroencephalogram (Eeg)  Electromyogram (Emg)  Human-robot Interaction  Mechanomyogram (Mmg)  Motion Intention Recognition  Multimodal Fusion