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A Multi-Modal Classification Method for Early Diagnosis of Mild Cognitive Impairment and Alzheimer's Disease Using Three Paradigms With Various Task Difficulties 期刊论文
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2024, 卷号: 32, 页码: 1456-1465
作者:  Chen Sheng;  Zhang Chutian;  Yang Hongjun;  Peng Liang;  Xie Haiqun;  Lv Zeping;  Hou Zeng-Guang
Adobe PDF(10190Kb)  |  收藏  |  浏览/下载:51/15  |  提交时间:2024/05/29
Dementia  multi-modal  machine learning  domain-adversarial neural network  
Robot-Assisted Trans-Esophageal Ultrasound and the Virtual Admittance-Based Master-Slave Control Method Thereof 期刊论文
IEEE/ASME Transactions on Mechatronics, 2023, 页码: 在线发表
作者:  Xie Yiping(谢亿平);  Guo Jun(郭君);  Deng Zhaokun(邓兆锟);  Hou Xilong(侯西龙);  Housden James;  Rhode Kawal;  Liu Hongbin(刘宏斌);  Hou Zeng-Guang(侯增广);  Wang Shuangyi(王双翌)
Adobe PDF(2038Kb)  |  收藏  |  浏览/下载:301/83  |  提交时间:2023/05/31
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:306/14  |  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  
Adaptive Fuzzy Asymptotic Tracking Control of State-Constrained High-Order Nonlinear Time-Delay Systems and Its Applications 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 卷号: 52, 期号: 3, 页码: 1671-1680
作者:  Wu, You;  Xie, Xue-Jun;  Hou, Zeng-Guang
收藏  |  浏览/下载:181/0  |  提交时间:2022/07/25
Adaptive fuzzy asymptotic tracking control  feasibility conditions  full-state constraints  high-order nonlinear time-delay systems  
Removing Feasibility Conditions on Adaptive Neural Tracking Control of Nonlinear Time-Delay Systems With Time-Varying Powers, Input, and Full-State Constraints 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 卷号: 52, 期号: 4, 页码: 2553-2564
作者:  Guo, Chao;  Xie, Xue-Jun;  Hou, Zeng-Guang
收藏  |  浏览/下载:403/0  |  提交时间:2022/06/10
Nonlinear systems  Time-varying systems  Control design  Adaptive systems  Delay effects  Artificial neural networks  Automation  Feasibility conditions  input and full-state constraints  neural networks (NNs)  nonlinear systems  time-varying powers  
sEMG-based torque estimation using time-delay ANN for control of an upper-limb rehabilitation robot 会议论文
, Shenzhen, China, 2018-10-25
作者:  Chen Wang;  Liang Peng;  Zeng-Guang Hou;  Lincong Luo;  Sheng Chen;  Weiqun Wang
Adobe PDF(3570Kb)  |  收藏  |  浏览/下载:185/61  |  提交时间:2021/06/21
Learning Regional Attention Convolutional Neural Network for Motion Intention Recognition Based on EEG Data 会议论文
, online in a virtual reality, January 7-15, 2021
作者:  Zhijie Fang;  Weiqun Wang;  Shixin Ren;  Jiaxing Wang;  Weiguo Shi;  Xu Liang;  Chen-Chen Fan;  Zengguang Hou
Adobe PDF(1549Kb)  |  收藏  |  浏览/下载:234/59  |  提交时间:2021/06/16
Prediction of Human Voluntary Torques Based on Collaborative Neuromusculoskeletal Modeling and Adaptive Learning 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2021, 卷号: 68, 期号: 6, 页码: 5217-5226
作者:  Wang, Weiqun;  Shi, Weiguo;  Hou, Zeng-Guang;  Chen, Badong;  Liang, Xu;  Ren, Shixin;  Wang, Jiaxing;  Peng, Liang
Adobe PDF(13331Kb)  |  收藏  |  浏览/下载:390/63  |  提交时间:2021/04/06
Muscles  Adaptation models  Adaptive learning  Force  Calibration  Hip  Electromyography  Adaptive learning  human–  robot interaction  neuromusculoskeletal modeling  parameter calibration  surface electromyography (sEMG) processing  
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:339/60  |  提交时间:2020/09/07
Brain computer interface  functional electrical stimulation (FES)  virtual reality  enhanced motor imagery  rehabilitation training  
Neuromuscular Activation Based SEMG-Torque Hybrid Modeling and Optimization for Robot Assisted Neurorehabilitation 会议论文
, Sydney, Australia, 2019-12-12
作者:  Weiqun Wang;  Zeng-Guang Hou;  Weiguo Shi;  Xu Liang;  Shixin Ren;  Jiaxin Wang;  Liang Peng
浏览  |  Adobe PDF(2091Kb)  |  收藏  |  浏览/下载:252/76  |  提交时间:2019/11/07