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A Hierarchical Architecture for Multisymptom Assessment of Early Parkinson's Disease via Wearable Sensors 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2022, 卷号: 14, 期号: 4, 页码: 1553-1563
作者:  Wang, Chen;  Peng, Liang;  Hou, Zeng-Guang;  Li, Yanfeng;  Tan, Ying;  Hao, Honglin
Adobe PDF(1912Kb)  |  收藏  |  浏览/下载：254/4  |  提交时间：2023/03/20
Diseases  Machine learning  Hidden Markov models  Accelerometers  Monitoring  Gyroscopes  Parkinson's disease  Wearable computing  Sensor systems  multilevel fusion  multisymptom assessment  Parkinson's disease (PD)  wearable sensor system  
Neural Correlates of Single-Task Versus Cognitive-Motor Dual-Task Training 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2022, 卷号: 14, 期号: 2, 页码: 532-540
作者:  Wang, Jiaxing;  Wang, Weiqun;  Ren, Shixin;  Shi, Weiguo;  Hou, Zeng-Guang
收藏  |  浏览/下载：210/0  |  提交时间：2022/07/25
Cognitive-motor dual-task training (CMDT)  engagement  event-related (de-)synchronization (ERD/ERS)  focus of attention (FOA)  single-cognitive/motor-task training (SCT/SMT)  
A Control Framework for Adaptation of Training Task and Robotic Assistance for Promoting Motor Learning With an Upper Limb Rehabilitation Robot 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 卷号: 52, 期号: 12, 页码: 7737-7747
作者:  Wang, Chen;  Peng, Liang;  Hou, Zeng-Guang
Adobe PDF(2528Kb)  |  收藏  |  浏览/下载：210/4  |  提交时间：2022/06/10
Robots  Trajectory  Task analysis  Training  Oscillators  Rehabilitation robotics  Real-time systems  Assist as needed (AAN)  motor learning  nonlinear adaptive control  rehabilitation robotics  
Efficient Brain Decoding Based on Adaptive EEG Channel Selection and Transformation 期刊论文
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 2022, 页码: 10
作者:  Wang, Jiaxing;  Shi, Lei;  Wang, Weiqun;  Hou, Zeng-Guang
收藏  |  浏览/下载：221/0  |  提交时间：2022/06/06
Electroencephalography  Decoding  Brain modeling  Computational modeling  Optimized production technology  Feature extraction  Data models  Channel selection  channel transformation  brain decoding  computational cost  classification accuracy  
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：144/3  |  提交时间：2021/12/28
Spasticity quantification  portable assessment device  modified genetic algorithm  ensemble empirical mode decomposition (EEMD)  multi-layer fusion  
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：315/68  |  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  
Enhanced Motor Imagery Based Brain- Computer Interface via FES and VR for Lower Limbs 期刊论文
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2020, 卷号: 28, 期号: 8, 页码: 1846-1855
作者:  Ren, Shixin;  Wang, Weiqun;  Hou, Zeng-Guang;  Liang, Xu;  Wang, Jiaxing;  Shi, Weiguo
Adobe PDF(1893Kb)  |  收藏  |  浏览/下载：313/56  |  提交时间：2020/09/07
Brain computer interface  functional electrical stimulation (FES)  virtual reality  enhanced motor imagery  rehabilitation training  
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：327/53  |  提交时间：2020/06/22
Post-stroke hemiparesis  upper limb functional assessment  motor synergies  multi-modality fusion  motion capture technology  electromyography (EMG)