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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：43/17  |  提交时间：2024/06/21
Toward a Fast and Robust MI-BCI: Online Adaptation of Stimulus Paradigm and Classification Model 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2024, 卷号: 73, 页码: 12
作者:  Wang, Jiaxing;  Wang, Weiqun;  Su, Jianqiang;  Wang, Yihan;  Hou, Zeng-Guang
Adobe PDF(1810Kb)  |  收藏  |  浏览/下载：81/12  |  提交时间：2024/05/30
Brain-computer interface (BCI)  classification model adaption  information transfer rate (ITR)  motor imagery (MI) duration  stimulus paradigm adjustment  
Multicontact Intrinsic Force Sensing Method of a Flexible Finger for Hand Assistance 期刊论文
IEEE Transactions on Instrumentation and Measurement, 2024, 卷号: 73, 页码: 1-12
作者:  Li, Guotao;  Zhang, Can;  Su, Can;  Liu, Zhijie;  Liang, Xu;  Cheng, Long;  Zeng-Guang Hou
Adobe PDF(14048Kb)  |  收藏  |  浏览/下载：76/22  |  提交时间：2024/04/25
Force  Sensors  Robot sensing systems  Exoskeletons  Springs  Robots  Friction  Flexible finger  force sensing  multipoint contact  static model  
A learnable EEG channel selection method for MI-BCI using efficient channel attention 期刊论文
FRONTIERS IN NEUROSCIENCE, 2023, 卷号: 17, 页码: 13
作者:  Tong, Lina;  Qian, Yihui;  Peng, Liang;  Wang, Chen;  Hou, Zeng-Guang
Adobe PDF(2021Kb)  |  收藏  |  浏览/下载：118/24  |  提交时间：2023/12/21
brain-computer interface  motor imagery  channel selection  deep learning  attention mechanism  
Soft Magnetic Skin's Deformation Analysis for Tactile Perception 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2023, 卷号: 70, 期号: 12, 页码: 12883-12893
作者:  Gui, Mei-Jiang;  Zhou, Xiao-Hu;  Xie, Xiao-Liang;  Liu, Shi-Qi;  Feng, Zhen-Qiu;  Hou, Zeng-Guang
Adobe PDF(2789Kb)  |  收藏  |  浏览/下载：166/9  |  提交时间：2023/11/17
Soft magnetic skins  deformations analy-sis  dynamic Young's modulus (DYM)  finite-element simulation  tactile perception  
TR-GAN: Multi-session future MRI prediction with temporal recurrent generative adversarial network 期刊论文
IEEE Transactions on Medical Imaging, 2022, 卷号: vol. 41, 期号: no. 8, 页码: 1925-1937
作者:  Fan, Chen-Chen;  Peng, Liang;  Wang, Tian;  Yang, Hongjun;  Zhou, Xiao-Hu;  Ni, Zhen-Liang;  Wang, Guan’an;  Chen, Sheng;  Zhou, Yan-Jie;  Hou, Zeng-Guang
Adobe PDF(11092Kb)  |  收藏  |  浏览/下载：254/31  |  提交时间：2023/06/02
Alzheimer’s disease  magnetic resonance imaging  generative adversarial 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：302/84  |  提交时间：2023/05/31
A linkage-driven underactuated robotic hand for adaptive grasping and in-hand manipulation 期刊论文
IEEE Transactions on Automation Science and Engineering, 2023, 页码: 1-13
作者:  Guotao Li;  Xu Liang;  Yifan Gao;  Tingting Su;  Zhijie Liu;  Zeng-Guang Hou
收藏  |  浏览/下载：83/0  |  提交时间：2023/05/03
Dexterous hand  Underactuated planar linkage  Spherical mechanism  Grasp manipulation.  
Real-Time Guidewire Segmentation and Tracking in Endovascular Aneurysm Repair 会议论文
, Sydney, Australia, 2019.12.12-15
作者:  Zhou, Yan-Jie;  Xie, Xiao-Liang;  Bian, Gui-Bin;  Hou, Zeng-Guang;  Liu, Bao;  Lai, Zhi-Chao;  Qu, Xin-Kai;  Liu, Shi-Qi;  Zhou, Xiao-Hu
Adobe PDF(2198Kb)  |  收藏  |  浏览/下载：328/68  |  提交时间：2022/06/14
Guidewire  Segmentation  Tracking  X-ray fluoroscopy  
Pyramid attention recurrent networks for real-time guidewiresegmentation and tracking in intraoperative X-ray fluoroscopy 期刊论文
Computerized Medical Imaging and Graphics, 2020, 卷号: 83, 页码: 101734
作者:  Zhou, Yan-Jie;  Xie, Xiao-Liang;  Zhou, Xiao-Hu;  Liu, Shi-Qi;  Bian, Gui-Bin;  Hou, Zeng-Guang
Adobe PDF(2211Kb)  |  收藏  |  浏览/下载：259/63  |  提交时间：2022/06/14
Guidewire  Catheter  Segmentation  Deep learning  X-ray fluoroscopy