Xiangxin Li，Ph.D., Associate Professor, Shenzhen Institutes of Advanced Technology
Address:1068 Xueyuan Avenue, Shenzhen, China
Dr. Xiangxin Li is a associate professor with Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Science (CAS). She received the B. Sc. degree from Zhengzhou University, Zhengzhou, China, in 2010, the M. Sc. degree from Tianjin University, Tianjin, China, in 2013, and the Ph.D. degree from University of Chinese Academy of Sciences in 2017. Currently, she is an associate professor in SIAT. Her research interests include biomedical signal processing, pattern recognition and human-computer interaction.
· 2006 – 2010, Biomedical Engineering
Zhengzhou University, Zhengzhou, China, B. S.
· 2010 – 2013, Biomedical Engineering
Tianjin University, Tianjin, China, M. S.
· 2013 – 2017, Pattern Recognition and Intelligent System
University of Chinese Academy of Sciences, China, Ph. D.
 Xiangxin Li, Shixiong Chen, Haoshi Zhang, Oluwarotimi Williams Samuel, H. Wang, Peng Fang, Guanglin Li, Towards reducing the impacts of unwanted movements on identification of motion intentions, Journal of Electromyography and Kinesiology, 28: 90-98，2016.
 Xiangxin Li, Oluwarotimi Williams Samuel, Xu Zhang, Hui Wang, Peng Fang, and Guanglin Li，A-motion Classification Strategy Based on sEMG-EEG Signal Combination for Upper Limb Amputees, Journal of NeuroEngineering and Rehabilitation, 14(1): 2, 2017.
 Xu Zhang#, Xiangxin Li#, Oluwarotimi Williams Samuel, Zhen Huang, Peng Fang, Guanglin Li, Improving the robustness of electromyogram-pattern recognition for prosthetic control by a post-processing strategy, Frontiers in Neurorobotics, 11,2017.
 Oluwarotimi Williams Samuel, Xiangxin Li, Yanjuan Geng, Mojisola Grace Asogbon, Peng Fang, and Guanglin Li, Resolving the adverse impact of mobility on myoelectric pattern recognition in upper-limb multifunctional prostheses, Computers in Biology and Medicine, 90: 76–87, 2017.
 Oluwarotimi Williams Samuel, Hui Zhou, Xiangxin Li, Hui Wang, Haoshi Zhang, Arun Kumar Sangaiah , and Guanglin Li, “Pattern Recognition of Electromyography Signals Based on Novel Time Domain Features for Amputees’ Limb Motion Classification,” Computers & Electrical Engineering, 1–11, 2017.
 Oluwarotimi Williams Samuel, Yanjuan Geng, Xiangxin Li, Guanglin Li*, “Towards efficient decoding of multiple classes of motor imagery limb movements based on EEG spectral and time domain descriptors, Journal of Medical Systems, 41(12):194, 2017.
 Peng Fang, Xingchen Ma, Xiangxin Li, Xunlin Qiu, Reimund Gerhard, Xiaoqing Zhang, and Guanglin Li, ”Fabrication, Structure Characterization, and Performance Testing of Piezoelectret-Film Sensors for Recording Body Motion,” IEEE Sensors Journal, 18(1):401-412,2018.
 Xiangxin Li, Shixiong Chen, Haoshi Zhang, Oluwarotimi Williams Samuel., Hui Wang and Guanglin Li, “Effects of non-training movements on the performance of motion classification in electromyography pattern recognition”, 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2014), Chicago, USA, 26-30 August 2014, pp. 2569-2572.
 Xiangxin Li, Rui Xu, Oluwarotimi Williams Samuel, Lan Tian, Haiqing Zou, Xiufeng Zhang, Shixiong Chen, Peng Fang, and Guanglin Li*, A New Approach to Mitigate the Effect of Force Variation on Pattern Recognition for Myoelectric Control, 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2016), Orlando, USA, 17-20 August 2016, pp. 1684-1687.
 Xiangxin Li, Qifang Zhou, Xu Zhang, Oluwarotimi Williams Samuel, Zeyang Xia, Xiufeng Zhang, Peng Fang, and Guanglin Li*, FMG-Based Body Motion Registration Using Piezoelectret Sensors, 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2016), Orlando, USA, 17-20 August 2016, pp. 4624-4629.
 Xiangxin Li, Peng Fang, Lan Tian, and Guanglin Li*. Increasing the robustness against force variation in EMG motion classification by common spatial patterns. 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2017), JeJu Island, S. Korea, 11-15 July 2017, pp. 406-409.
 Xiangxin Li, Yue Zheng, Zeyang Xia, Guanglin Li, and Peng Fang*, “Improving the motion classification performance of myoelectric prosthesis control by feature filtering strategy”, 2017 IEEE International Conference on Real-time Computing and Robotics (RCAR 2017), Okinawa, Japan, 14-18 July 2017, pp. 398-402.
 田岚、李向新、方鹏、李光林，“假肢动作分类器的性能评估方法、装置、终端及存储介质 ”，发明专利，已受理，申请号：CN 201711336803.4，申请日：2017.12.14。
 方鹏、田岚、李向新、李光林，“一种信号检测传感结构及其制作方法、信号检测方法”，发明专利，已受理，申请号：CN 201710651168.2，申请日：2017.08.02.
Biomedical Engineering, Biomedical Signal Processing, Pattern Recognition and Human-Computer Intelligence Interaction, Rehabilitation Engineering and Technology
Fundings as PI
The National Natural Science Foundation of China under grants
SIAT Branch, Shenzhen Institute of Artificial Intelligence and Robotics for Society
The Natural Science Foundation of Guangdong Province of China
Foundation of Special research assistant program of Chinese Academy of Sciences
China Postdoctoral Science Foundation
Science Foundation for the Excellent Youth Scholars of SIAT