张锐 - 郑州大学 - 电气工程学院

个人简介

教育背景 2009/09-2015/06，电子科技大学，生命科学与技术学院，博士 2005/10-2009/06，中南大学，信息物理工程学院，学士工作经历 ➢ 2015/07-至今，郑州大学，电气工程学院，讲师奖励与荣誉 ➢ 2017年，郑州大学校级青年骨干教师 ➢ 2019年，指导刘家俊等完成的“基于脑电的儿童注意力训练系统”获郑州大学第三届研究生电子设计竞赛二等奖 ➢ 2018年，指导李先鹏等完成的“脑肌电融合控制的智能轮椅”获第十三届研究生电子设计竞赛华中赛区二等奖 ➢ 2018年，指导龙伟等完成一项国家级大学生创新创业训练项目 ➢ 2016年，指导吴迎春完成的毕业设计获得郑州大学2016届校级优秀本科毕业论文科研项目 ➢ （主持）国家自然科学基金项目“基于脑网络的运动想象脑机接口盲被试的特征提取算法研究”（61603344），2017.01-2019.12 ➢ （主持）横向项目“基于脑电的多人注意力实时检测软件系统开发”（20190435A），2019.10-2020.10 ➢ （主持）横向项目“人机联合操控验证试验”（20170321A），2017.10-2018.12 ➢ （主持）横向项目“脑电beta与alpha波在线识别软件系统开发合同”（20180023A），2018.01-2018.06 专利 [1] 发明专利：张锐，徐鹏，尧德中. 一种用于脑机接口中的分类方法. （专利号：ZL201310027267.5）其他信息 ➢ 担任Journal of Neural Engineering, IEEE trans Neural Systems and Rehabilitation Engineering, IEEE trans Affective Computing等多本SCI杂志的审稿人

研究领域

脑-机接口中的特征提取与模式识别算法，以及脑-机接口在医疗、康复、娱乐乃至军事领域的应用。

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

[1] Xincan Zhao ; Chenyang Liu ; Zongxin Xu ; Lipeng Zhang ; Rui Zhang∗, SSVEP Stimulus Layout Effect on Accuracy of Brain-computer interfaces in Augmented Reality Glasses, IEEE Access, 2020 [2] Rui Zhang, Xianpeng Li, Yinwang Wang, Bo Liu, Li Shi, Mingming Chen, Lipeng Zhang, Yuxia Hu, Using Brain Network Features to Increase the Classification Accuracy of MI-BCI Inefficiency Subject, IEEE Access, vol. 7, pp. 74490-74499, 2019. [3] Xuyang Zhu, Peiyang Li, Cunbo Li, Dezhong Yao, Rui Zhang∗, Peng Xu∗. Separated channel convolutional neural network to realize the training free motor imagery BCI systems, Biomedical Signal Processing and Control, vol. 49, pp. 396-403, 2019. [4] M. L. Bringas Vega, P. Nunez, J. Riera, Rui Zhang（共同一作）, and P. A. Valdes-Sosa, "Editorial: Through a Glass, Darkly: The Influence of the EEG Reference on Inference About Brain Function and Disorders," Frontiers in Neuroscience, vol. 13, 2019-December-12 2019. [5] 张锐, 逯鹏, 牛新, 刘素杰, 胡玉霞. 错误相关负电位单次检测技术研究. 生物医学工程学杂志. 2018. 35(4): 606-612. [6] Fali Li, Wenjing Peng, Yuanling Jiang, Limeng Song, Yuanyuan Liao, Chanlin Yi, Luyan Zhang, Yajing Si, Tao Zhang, Fei Wang, Rui Zhang, Yin Tian, Yangsong Zhang, Dezhong Yao and Peng Xu. The Dynamic Brain Networks of Motor Imagery: Time-Varying Causality Analysis of Scalp EEG. International Journal of Neural Systems, 2018(10):1850016. [7] Rui Zhang, Yamin Yan, Yuxia Hu, Li Shi, Hong Wan. EEG function network analysis of left and right hand motor imagery. 2017 Chinese Automation Congress (CAC), Jinan, 2017, pp. 346-350. [8] Teng Ma, Hui Li, Lili Deng, Hao Yang, Xulin Lv, Peiyang Li, Fali Li, Rui Zhang, Tiejun Liu, Dezhong Yao. The hybrid BCI system for movement control by combining motor imagery and moving onset visual evoked potential. Journal of Neural Engineering, 2017, 14(2):026015. [9] Jinnan Gong, Cheng Luo, Xuebin Chang, Rui Zhang, Benjamin Klugah-Brown, Lanjin Guo, Peng Xu, Dezhong Yao. White Matter Connectivity Pattern Associate with Characteristics of Scalp EEG Signals, Brain Topogr, vol. 30, pp. 797-809, 2017. [10] Rui Zhang, Tao Zhang, Teng Ma, et al. Resting-State Long-Range Functional Connectivity Density Reveals Sensorimotor Rhythm-Based BCI Performance Variations. Advances in Cognitive Neurodynamics (V). Springer Singapore, 2016. [11] Rui Zhang, Peng Xu, Pedro A. Valdés-Sosa, Fali Li, Rui Chen, Peiyang Li, Tao Zhang, Teng Ma, Dezhong Yao. Efficient resting-state EEG network facilitates SMR-BCI performance. Journal of Neural Engineering. 2015, 12(6):e066024. [12] Rui Zhang, Peng Xu, Rui Chen, Fali Li, Lanjin Guo, Peiyang Li, Tao Zhang, Dezhong Yao. Predicting inter-session performance of SMR-Based brain-computer interface using the spectral entropy of resting-state EEG. Brain Topography, 2015, 28(5):1-11. [13] Rui Zhang, Peng Xu, Rui Chen, Teng Ma, Xulin Lv, Fali Li, Peiyang Li, Tiejun Liu, Dezhong Yao. An adaptive motion-onset VEP-based brain-computer interface. IEEE Transactions on Autonomous Mental Development, 2015, 7(4):349-356. [14] Rui Zhang, Peng Xu, Lanjin Guo, Yangsong Zhang, Peiyang Li, Dezhong Yao. Z-Score Linear Discriminant Analysis for EEG Based Brain-Computer Interfaces. PLoS One, 2013,8(9): e74433. [15] Rui Zhang, Peng Xu, Tiejun Liu, Yangsong Zhang, Lanjin Guo, Peiyang Li, and Dezhong Yao. Local Temporal Correlation Common Spatial Patterns for Single Trial EEG Classification during Motor Imagery. Computational and Mathematical Methods in Medicine, 2013,2013: 7.

学术兼职

➢ 《生物医学工程学杂志》第六届编委会青年编委 ➢ 中国生物医学工程学会医学神经工程分会委员