Title:Multimodal Information Fusion Based Intelligent
Neurorehabilitation and Application
Abstract: The number of patients with limb dysfunctions caused by stroke and spinal cord
injury, increased greatly these years, however, the associated physiotherapists are
severe scarce in China. Although rehabilitation robots can be used to reduce the
workload of therapists and alleviate the supply-demand imbalance, the results were
not satisfactory enough from large scale of clinical application. Therefore, further
research should be carried out to improve the robot performance and clinical
rehabilitation effects. In this talk, I will present some works we have conducted to
improve the human-machine interaction performance based on multimodal
information fusion and the clinical application research based on our rehabilitation
robots, and discuss some of the key factors affecting clinical results. Bio: Prof. Weiqun Wang, is a professor with the Institute of Automation, Chinese
Academy of Sciences, and a key member of the Center for Excellence in Brain
Science and Intelligent Technology, Chinese Academy of Sciences. He is an
IEEE Senior Member, the Vice Chairman of the Intelligent Health and
Bioinformatics Technical Committee of the Chinese Association of Automation
(CAA), and a member of the Rehabilitation Engineering Branch Committee of
Chinese Society of Biomedical Engineering and other technical committees.
He hosted and undertaken over 10 national level projects, including Original
Exploration Program from the National Natural Science Foundation, Key Research and Development
Program from the Ministry of Science and Technology. He has proposed technical methods for the
design and modeling of rehabilitation robots, intention recognition based on EEG and sEMG signals,
and intelligent rehabilitation strategies that enhancing patient active participation. He have developed
prototype platforms such as the full cycle lower limb rehabilitation robot, the foot drop rehabilitation
exoskeleton, and the upper limb rehabilitation robot, etc. He has published over 80 academic papers,
authorized 31 national invention patents, and authorized 2 US PCT patents. He has been selected for the CAA Young Scientist Award, won 3 provincial and ministerial level awards, and won awards
such as the gold medal at the Geneva International Invention Exhibition and the special prize at the
National Robot Patent Innovation and Entrepreneurship Competition as the first author.
