题目：A Novel Cable Drive Exoskeleton for Stroke Rehabilitation
时间：2018年6月22日上午十点
地点： 北校区工科楼1109会议室
报告人：Yu Haoyong, Department of Biomedical Engineering, National University of Singapore 

报告人简介
    Dr. Yu Haoyong is an Associate Professor of the Department of Biomedical Engineering at the National University of Singapore. He received his Bachelor’s Degree and Master’s Degree from Shanghai Jiao Tong University and PhD from Massachusetts institute of Technology (MIT). He was the Principal Member of Technical Staff in DSO National Laboratories of Singapore before he joined NUS 2010. He is a Principal Investigator of the Singapore Institute of Neurotechnology (SiNAPSE) and the Advanced Robotic Center of NUS (ARC) of NUS. His current research interests include biomedical robotics and devices, rehabilitation engineering and assistive technology, biologically inspired robotics, intelligent control and machine learning.

http://www.bioeng.nus.edu.sg/biorob/

报告摘要
    Stroke is the leading course of adult disability due to the rapid population aging. Robots can be used in stroke rehabilitation to reduce the labor intensity as well as improve functional outcomes. However, the potential of robot-assisted rehabilitation has not been realized due to the limitation of the design, sensing and control of the robotic systems. The key limitations of current rehabilitation robots are in the areas of actuator design, system design with consideration of human biomechanics, and the sensing and control methodology to allow user initiated movement.
    In this talk, I will introduce the design, sensing, and control for a novel robotic exoskeleton for sub-acute and chronic stroke patients to conduct over-ground gait training at home and outpatient settings.It consists of a knee joint and an ankle joint actuated by the same novel series elastic actuator (SEA) with Bowden cables. The system adopts machining learning algorithm based on wearable sensors for the robot to synchronize with the human movement and provide the assistance at the right gait phase.
    Data from the preliminary clinical trials with stroke patients will also be presented to show that the system can improve the gait patterns of the patients.