Stepping Stone Symposia Conference on Medical Technology ...

Jue WANG
Xi’an Jiaotong University
juewang@mail.xjtu.edu.cn
SSSTC <strong>Stepping</strong> <strong>Stone</strong> Symposium on Medical Technologies, 27–28 September 2012
Research interests
Neuro-functional informatics; rehabilitation engineering; biomechanics
Educational history
1977 Bachelor Degree in Radio Engineering, Xi’an Jiaotong University
1991 Master’s Degree in Biomedical Engineering, Xi’an Jiaotong University
2000 Ph.D. degree in Rehabilitation Science and Technology, University of Pittsburgh
Previous positions
1994–2001 Visiting associate professor, research associate, graduate student researcher, assistant professor in
University of Pittsburgh
Jue Wang
Neuro functional informatics and rehabilitation engineering
Neuro-functional informatics; rehabilitation engineering
This seminar will discuss the inner link between the Neuro-Functional Informatics (NFI) and the Rehabilitation
Engineering (RE). It probes the role of NFI research in promoting the RE and the requirements of RE on NFI research.
The taking will analyze the inner link of NFI and RE by comparing their definition, study object and study scope. It
introduces the model of Neural Function Information Transfer and Processing and Human Activity Assistive
Technology Model. It forms a system that combines the research on Neuroscience, rehabilitation engineering with
clinic rehabilitation treatment closely. As samples, the talking will introduce the researches on Neuro Functional
Informatics and Rehabilitation Engineering in Xi’an Jiaotong University, Such as a neuro-information feedback
(NFB) system is applied to treat the children with attention deficit hyperactivity disorder (ADHD), Deep Brain
Stimulator and MEMS Brain Electrode for the Persons with Parkinson Disease (PD), and so on.
RE needs to be supported by NFI achievement and makes NFI research to be much significant and valuable on clinic
rehabilitation. It is believed that the understand to the mechanism of Neuro-functional information generation,
transfer and processing will open new ways and raise new methods for clinic rehabilitation intervention and
evaluation. It promotes also that new generation products on rehabilitation engineering and assistive technology
come into being.
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