Time：10:00-11:00, May 12th
    Place：F207, School of Mechanical Engineering
    Speaker：Ren XU, PHD
    Host：ZHANG Dingguo 

    Abstract 
    Neurofeedback is critical in a MI-based BCI. Rehabilitation is most effective when users get immersive feedback that relates to the activities they imagine or perform. For example, if people imagine grasping an object with their left hand, then an image of a grasping hand can help users visualize this activity. If a stroke patient keeps trying to imagine or perform the same movement, while receiving feedback that helps to guide this movement, then users might regain the ability to grasp, or at least recover partial grasp function.

    Based on this concept, recently g.tec developed a new research package for stroke rehabilitation: recoveriX. It is a highly integrated ready-to-use system for use with patients in a daily rehabilitation setup scenario. It consists of a wireless EEG system, a laptop computer with the recoveriX software, a patient monitor for instructions and 3D-feedback and an electrical muscle stimulator controlled via the recoveriX software. All steps from data processing, signal analysis, classifier computation to neurofeedback generation and muscle stimulation are automated to allow for an easy operation of the system.

    Biography
    Dr. Ren XU is currently working as a research scientist at g.tec medical engineering, Austria. He received the B.Sc. degree in electronic information science & technology from University of Science and Technology of China, Hefei, China, and the M.Sc. degree in signal & information processing from Chinese Academy of Sciences, Beijing, China, in 2009 and 2012, respectively. Since 2012, he has been working towards the Ph.D. degree in applied computer science at University Medical Center, Georg-August University, Göttingen, Germany. His research interests include biomedical signal processing, and brain-computer interface for rehabilitation.