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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:300/69  |  提交时间:2021/01/06
human-in-the-loop optimization  EEG based neural engagement  sEMG based muscle activation  tracking accuracy  neural rehabilitation  
Applying maximally stable extremal regions and local binary patterns for guide-wire detecting in percutaneous coronary intervention 期刊论文
IET Image Processing, 2019, 卷号: 13, 期号: 13, 页码: 2579-2586
作者:  Prasong Pusit;  Xiaoliang,Xie;  Zeng-Guang Hou
浏览  |  Adobe PDF(2646Kb)  |  收藏  |  浏览/下载:230/67  |  提交时间:2020/11/05
image sequences  blood vessels  video signal processing  object detection  
Applying maximally stable extremal regions and local binary patterns for guide-wire detecting in percutaneous coronary intervention 期刊论文
IET IMAGE PROCESSING, 2019, 卷号: 13, 期号: 13, 页码: 2579-2586
作者:  Pusit, Prasong;  Xie, Xiao-Liang;  Hou, Zeng-Guang
浏览  |  Adobe PDF(2646Kb)  |  收藏  |  浏览/下载:361/74  |  提交时间:2020/03/30
blood vessels  medical image processing  surgery  image sequences  video signal processing  image filtering  object detection  X-ray imaging  object tracking  stroke width variation filter  region detection  local binary patterns  guide-wire recognition  conventional MSER methods  maximally stable extremal regions  guide-wire position  anatomical skeleton contours  training data  X-ray video sequence  percutaneous coronary intervention surgery  region area range filter  X-ray video monitoring  guide-wire tip detection  modified multifilters  training templates  
Robot assisted rehabilitation of the arm after stroke: prototype design and clinical evaluation 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2017, 卷号: 60, 期号: 7, 页码: 1869-1919
作者:  Peng, Liang;  Hou, Zeng-Guang;  Peng, Long;  Luo, Lincong;  Wang, Weiqun
Adobe PDF(451Kb)  |  收藏  |  浏览/下载:279/73  |  提交时间:2018/01/05
Rehabilitation Robot  Passive Training  Active Training  Force Feedback  Impedance Control