Reconfigurable lower limb Exoskeleton for effective Stroke Treatment in residential settings
报告人: Prof. Shane Xie (School of Electronic and Electrical Engineering, University of Leeds, UK)
主持人：杨华勇 院士
时 间: 9月19日上午10:30
地 点: 智泉大楼D座103 报告厅
Abstract: Stroke and neurological dieases have significant impact to our society, this talk will discuss the key enabling technologies for a novel lower limb exoskeleton for effective stroke treatment in residential settings. The key technologies to be introduced include neurosicience, robotics, artificial intelligence and control strategies. The exoskeleton is reconfigurable, tailored to meet patients’ needs, deliver effective diagnosis and personalized treatment, and are monitored remotely by a rehabilitation therapist. A new soft, sheet-like, reactive actuator with muscle-like properties: Peano muscle, will be presented first, followed by an automatic assessment system based on multi-modal sensors. Then a two-mode control strategy (“therapist-in-charge” and “patient-in-the-loop”) will be introduced to maximise the long-term training performance while reducing the involved time of therapists. An evaluation procedure and pilot study will also be designed to assess the clinical treatment capabilities of the proposed exoskeleton, along with reliability, usability, and portability in residential settings.
Short bio:Prof Shane (Sheng Q) Xie, Ph.D., FIPENZ, is the Chair of Robotics and Autonomous Systems and Director of the Rehabilitation Robotics Lab at the University of Leeds, and he was the Director of the Rehabilitation and Medical Robotics Centre at the University of Auckland, New Zealand (NZ, 2002-2016). He has >25 years of research experience in rehabilitation robotics and exoskeletons. He has published > 400 refereed papers and 8 books in rehabilitation exoskeleton design and control, neuromuscular modelling, and advanced human-robot interaction. He has supervised >15 postdocs, 62 PhDs and 80 MEs in his team with funding of >£27M from five countries since 2003. His team has invented three award-winning rehabilitation exoskeletons (CARR, HuREx and SoftWrist). He is an expert in control of exoskeletons, i.e. impedance control, adaptive control, sliding mode control, and iterative learning control for the world-renowned Rex Bionics exoskeleton. He has received many distinguished awards including the New Zealand Science Challenge Award, the David Bensted Fellowship Award, and the AMP Invention Award. He is a Fellow of the Institute of Professional Engineers of New Zealand and the Technical Editor for IEEE/ASME Transaction on Mechatronics.