Brief Bio
I am currently a Lecturer in the School of Computer Science and Engineering at Tianjin University of Technology. I received the BEng degree in measurement and control technology and instrument from Yanshan University, China, in 2011, the PhD degree in automation from Yanshan University, China, in 2017. My current research interests include EEG and fNIRS signal processing, brain development of children, neurofeedback, brain-computer interface (BCI), and pattern recognition.
- CCF Member (2018-)
Courses
- Web design and programming
Selected Publications
Yue Gu, Xue Li, Shengyong Chen, Xiaoli Li, AOAR: an automatic ocular artifact removal approach for multi-channel electroencephalogram data based on non-negative matrix factorization and empirical mode decomposition, Journal of Neural Engineering, 2021, 18(5): 056012
Yue Gu*, Zhenhu Liang, Satoshi Hagihira, Use of Multiple EEG Features and Artificial Neural Network to Monitor the Depth of Anesthesia, Sensors, 2019, 19(11): 249
- Yue Gu, Shuo Miao, Junxia Han, Zhenhu Liang, Gaoxiang Ouyang, Jian Yang, Xiaoli Li, Identifying ADHD children using hemodynamic responses during a working memory task measured by functional near-infrared spectroscopy, Journal of Neural Engineering, 2018, 15(3): 035005
- Yue Gu, Shuo Miao, Junxia Han, Ke Zeng, Gaoxiang Ouyang, Jian Yang, Xiaoli Li, Complexity analysis of fNIRS signals in ADHD children during working memory task, Scientific Reports, 2017, 7(1): 829
- Yue Gu, Junxia Han, Zhenhu Liang, Jiaqing Yan, Zheng Li, Xiaoli Li, Empirical mode decomposition-based motion artifact correction method for functional near-infrared spectroscopy, Journal of Biomedical Optics, 2016, 21(1): 015002
Projects
- National Natural Science Foundation of China (61806145), 2019.01-2021.12