Affiliation: Professor, Northeast Dianli University, China
Title: Rehabilitation Degree Evaluation of Upper Limb Motor Function in Stroke Patients
In order to evaluate the rehabilitation degree of upper limb motor function in stroke patients objectively, a novel method is presented based on Shimmer, which is a small sensor platform suited for wearable applications. The method establish rehabilitation degree evaluation model by collecting, processing, analyzing the motion data of patients. By a great deal tests, it is shown that the method can evaluate rehabilitation degree of upper limb motor function of stroke patients objectively and accurately, and it can avoid the misjudgment caused by lack of experience and some other reasons effectively.
XiaoJuan Chen was born in Jilin, China, in 1970. She obtained the M.S. in Electric Power System and Automation from Northeast Dianli University and Ph.D. degrees in Communication and Information System from Jilin University. Since 1992 she has been working in the School of Information Engineering at the Northeast Dianli University. 2007, she was named Deputy Director of the Institute of Information Technology. Chen accepted a position as Professor of Communication Engineering at Northeast Dianli University in 2008, and in 2012, she served as Visiting Professor at Shenyang Institute of Engineering. She was a visiting scholar in University of British Columbia during 2012-2013. Chen is author or co-author of more than 60 publications on weak signal detection processing. She is a senior member of Chinese Society for Electrical Engineering and Chinese Institute of Electronics.