主要论著 [1] Xincan Zhao, Yulin Du, Rui Zhang*. A CNN-based multi-target fast classification method for AR-SSVEP. Computers in Biology and Medicine, In press [2] Mingming Chen, Yajie Zhu, Renping Yu, Yuxia Hu, Hong Wan, Rui Zhang*, Dezhong Yao, Daqing Guo*. Insights on the role of external globus pallidus in controlling absence seizures, Neural Networks, 2021, 135: 78–90. [3] 张锐,刘家俊,陈明明,张利朋,胡玉霞.基于小波变换—集合经验模态分解的单通道脑电信号眼电伪迹自动去除研究.生物医学工程学杂志,2021,38(03):473-482. [4] Rui Zhang, Li Peng Zhang, Yongkun Guo, Li Shi, Jinfeng Gao, Xinjun Wang, Hu Yuxia，Effects of high-definition transcranial direct-current stimulation on resting-state functional connectivity in patients with disorders of consciousness，Frontiers in Human Neuroscience，vol. 14, p. 560586, 2020. [5] 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 [6] Li Peng Zhang, Rui Zhang#, Dezhong Yao, Li Shi, Jinfeng Gao, Yuxia Hu, Differences in Intersubject Early readiness Potentials Between Voluntary and Instructed Actions, Frontiers in Psychology, vol. 11, p. 9, Sep 2020. [7] Li Peng Zhang, Peng Wang, Rui Zhang, Mingming Chen, Li Shi, Jinfeng Gao, Yuxia Hu. The Influence of Different EEG References on Scalp EEG Functional Network Analysis During Hand Movement Tasks, Frontiers in Human Neuroscience, vol. 14, p. 367, 2020. [8] 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. [9] 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. [10] 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. [11] 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. [12] 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. [13] 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. [14] 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. [15] 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. [16] 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. [17] 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. [18] 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. [19] 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. |
