学术成果

代表性论文

        1. Wen Shi, Yamin Li, Zhian Liu, Jing Li, Qiang Wang, Xiangguo Yan, Gang Wang*, Non-Canonical Microstate Becomes Salient in High Density EEG During Propofol-Induced Altered States of Consciousness, International Journal of Neural Systems, 2020. (SCI)

        2. Gang Wang*, Zhian Liu, Yiming Feng, Jinming Li, Hailong Dong, Dong Wang, Jing Li, Nong Yan, Tun Liu, Xiangguo Yan, Monitoring the Depth of Anesthesia through the Use of Cerebral Hemodynamic Measurements Based on Sample Entropy Algorithm,  IEEE Transactions on Biomedical Engineering, 2020. (SCI) 

        3. Lin Gao , Yunli Cai, Huaning Wang, Gang Wang, Quan Zhang, and Xiangguo Yan, Probing prefrontal cortex hemodynamic alterations during facial emotion recognition for major depression disorder through functional near-infrared spectroscopy, Journal of Neural Engineering, 2019, 16, 026026. (SCI)

        4. Yuhui Wei, Xia Qi, Huaning Wang, Zhian Liu, Gang Wang*, and Xiangguo Yan*, A Multi-Class Automatic Sleep Staging Method Based on Long Short-Term Memory Network Using Single-Lead Electrocardiogram Signals, IEEE Access, 2019, 7, 85959-85970. (SCI)

        5. Dong Wang, Doutian Ren, Kuo Li, Yiming Feng, Dan Ma, Xiangguo Yan, Gang Wang*, Epileptic Seizure Detection in Long-Term EEG Recordings by Using Wavelet-Based Directed Transfer Function, IEEE Transactions on Biomedical Engineering, 2018, 65(11), 2591-2599. (SCI)

        6. Gang Wang*, Doutian Ren, Kuo Li, Dong Wang, Maode Wang, Xiangguo Yan, EEG-based Detection of Epileptic Seizures through the Use of a Directed Transfer Function Method, IEEE Access, 2018, 6, 47189-47198. (SCI)

    7. 王栋,李扩,刘晓芳,闫相国,王刚*,利用高频脑电的局灶性癫痫患者癫痫发作检测,西安交通大学学报2018522),148-154.EI

    8. 冯一鸣,李金铭,高成成,闫相国,王刚*,基于脑血氧信号近似熵的麻醉深度监测方法研究,航天医学与医学工程201831(4)458-463. (EI)

    9. 李静,董补怀,蔡文博,王刚*,连续腰丛阻滞降低老年患者髋关节置换术后早期认知功能障碍的发生,中南大学学报(医学版)201843(8)858-863.

        10. Gang Wang*, Zhongjiang Sun, Ran Tao, Kuo Li, Gang Bao, Xiangguo Yan, Epileptic Seizure Detection Based on Partial Directed Coherence Analysis, IEEE Journal of Biomedical and Health Informatics, 2016, 20(3), 873-879. (SCI)

        11. Gang Wang*, Chaolin Teng, Kuo Li, Zhonglin Zhang, Xiangguo Yan, The Removal of EOG Artifacts from EEG Signals Using Independent Component Analysis and Multivariate Empirical Mode Decomposition, IEEE Journal of Biomedical and Health Informatics, 2016, 20(5), 1301-1308. (SCI)

        12. Yang Zheng, Gang Wang, Jue Wang*, Is Using Threshold-Crossing Method and Single Type of Features Sufficient to Achieve Realistic Application of Seizure Prediction?, Clinical EEG and Neuroscience, 2016, 47(4), 305-316. (SCI)

        13. Yang Zheng, Yu Peng, Gang Wang, Xinrong Liu, Xiaotong Dong, Jue Wang, Development and evaluation of a sensor glove for hand function assessment and preliminary attempts at assessing hand coordination, Measurement, 2016, 93, 1-12. (SCI)

        14. Yang Zheng, Lin Gao, Gang Wang, Yingtuo Wang, Zi Yang, Xiuyue Wang, Tianqi Li, Chuan Dang, Ruohan Zhu, Jue Wang, The influence of unilateral contraction of hand muscles on the contralateral corticomuscular coherence during bimanual motor tasks, Neuropsychologia, 2016, 85, 199-207. (SCI)

    15. 郑杨,陈垒,王刚,刘新蓉,董晓彤,王珏,欠驱动式手指康复训练装置的结构优化设计,西安交通大学学报201549(03)151-156. (EI)

        16. Yang Zheng, Gang Wang*, Kuo Li, Gang Bao, Jue Wang*, Epileptic seizure prediction using phase synchronization based on bivariate empirical mode decomposition, Clinical Neurophysiology,2014, 125(6), 1104-1111. (SCI)

        17. Yanyan Zhang, Gang Wang*, Chaolin Teng, Zhongjiang Sun, Jue Wang, The Analysis of Hand Movement Distinction Based on Relative Frequency Band Energy Method, BioMed Research International, 2014, 781769. (SCI)

        18. Gang Wang*, Yanyan Zhang,Jue Wang, The Analysis of Surface EMG Signals with the Wavelet-Based Correlation Dimension Method, Computational and Mathematical Methods in Medicine, 2014, 284308. (SCI)

    19. 郑杨,王刚,徐进,秦永辉,王珏*,大脑皮层-肌肉交互作用与注意力关系的实验研究,西安交通大学学报201448(06)134-138. (EI)

        20. Gang Wang*, Doutian Ren, Effect of Brain-to-Skull Conductivity Ratio on EEG Source Localization Accuracy, BioMed Research International, 2013, 459346.(SCI)

        21. Gang Wang*, Doutian Ren, Classification of surface electromyographic signals by means of multifractal singularity spectrum, Medical & Biological Engineering & Computing, 2013, 51(3), 277-284. (SCI)

    22. 赵梦琰,李扩,鲍刚,滕超淋,王刚*,利用小波包的脑电源定位算法仿真研究,西安交通大学学报201347(12)130-136. (EI)

        23. Gang Wang, Gregory Worrell, Lin Yang, Christopher Wilke, Bin He*, Interictal spike analysis of high density EEG in patients with partial epilepsy, Clinical Neurophysiology, 2011, 122(6), 1098-1105. (SCI)

        24. Gang Wang*, Hai Huang, Hongbo Xie, Zhizhong Wang, Xiao Hu, Multifractal analysis of ventricular fibrillation and ventricular tachycardia, Medical Engineering & Physics, 2007, 29(3), 375-379. (SCI)

        25. Gang Wang, Xiaomei Ren, Lei Li, Zhizhong Wang*, Multifractal analysis of surface EMG signals for assessing muscle fatigue during static contractions, Journal of Zhejiang University SCIENCE, 2007, 8(6), 910-915. (SCI)

        26. Gang Wang, Zhizhong Wang*, Weiting Chen, Jun Zhuang, Classification of surface EMG signals using optimal wavelet packet method based on Davies-Bouldin criterion, Medical & Biological Engineering & Computing, 2006, 44(10), 865-872. (SCI)

        27. Gang Wang*, Zhiguo Yan, Xiao Hu, Hongbo Xie and Zhizhong Wang, Classification of surface EMG signals using harmonic wavelet packet transform, Physiological Measurement, 2006, 27(12), 1255-1267. (SCI)

        28. Zhongjiang Sun, Gang Wang*, Kuo Li, Zhonglin Zhang, Gang Bao, Cerebral functional connectivity analysis based on scalp EEG in epilepsy patients, the 2014 7th International Conference on Biomedical Engineering and Informatics, 2014, Oct 14-16, Dalian (China), 2014, p212-216. (EI)

        29. Chaolin Teng, Yanyan Zhang, Gang Wang*, The Removal of EMG Artifact from EEG Signals by the Multivariate Empirical Mode Decomposition, the 2014 IEEE International Conference on Signal Processing, Communications and Computing, 2014, Aug, 5-8, Guilin (China), 2014, p2151. (EI)

        30. Gang Wang, Lin Yang, Gregory Worrell, Bin He, The relationship between conductivity uncertainties and EEG source localization accuracy, 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009, Sep 2-6, Minneapolis (USA), 2009, p4799-4802. (EI)

 

国家发明专利

    1. 王刚,滕超淋,闫相国,任都甜,一种去除脑电信号中眼电伪迹的方法,授权日期:2017.04.19,专利号:ZL201510043959.8,国家发明专利。

    2. 王刚,孙忠江,林盘,程宝庆,闫相国,一种用于癫痫发作时间段的自动检测系统及方法,授权日期:2017.10.20,专利号:ZL20150075571.6,国家发明专利。

    3. 王刚,程宝庆,张琦,闫相国,任都甜,一种去除脑电信号中肌电伪迹的方法,授权日期:2019.01.08,专利号:ZL201510906489.3,国家发明专利。

    4. 王刚,王栋,闫相国,程宝庆, 一种用于癫痫间期棘波自动检测的方法,授权日期:2019.07.02,专利号:ZL201810475170.3,国家发明专利。

    5. 王刚,颜浓,闫相国,张岩岩,麻聃,一种运动执行的单次脑电特征提取分类方法,申请日期:2017.11.30,申请号:201711240407.1,国家发明专利。

    6. 王刚,刘治安,冯一鸣,闫相国,一种基于近红外光谱技术的麻醉深度监测系统及方法,申请日期:2018.11.13,申请号:201811346506.2,国家发明专利。

    7. 王刚,刘治安,冯一鸣,闫相国,颜浓,一种基于近红外相位幅值耦合的麻醉深度监测系统及方法,申请日期:2019.03.28,申请号:201910244092.0,国家发明专利。

    8. 王刚,颜浓,李金铭,闫相国,张克旭,王畅,陈婷,一种基于经验模态分解的稳态视觉诱发电位的分类方法,申请日期:2019.6.13,申请号:201910511474.5,国家发明专利。

 

软件著作权

    1. 王刚,陶然,孙忠江,程宝庆,林盘,闫相国,癫痫发作和间期棘波检测分析软件,授权日期:2015.11.30,授权号:2015sR237013,计算机软件著作权。

    2. 王刚,黄覃斌,张君浩,刘治安,王栋,颜浓,闫相国,基于虚拟现实技术的上肢功能康复训练系统软件,授权日期:2019.6.25,授权号:2019SR0653771,计算机软件著作权。

    3. 王刚,黄覃斌,冯一鸣,刘治安,张君浩,王栋,颜浓,闫相国,基于脑电和近红外光谱信号的麻醉深度监测软件,授权日期:2019.6.26,授权号:2019SR0658513,计算机软件著作权。

    4. 王刚,李金铭,颜浓,陈婷,王畅,张克旭,基于混合脑机接口的无人机控制软件,授权日期:2019.07.19,授权号:2019SR0751868,计算机软件著作权。

    5. 王刚,陶豪毅,李金铭,王畅,陈婷,颜浓,基于脑机接口的无人机控制安卓软件,授权日期:2019.07.19,授权号:2019SR0751876,计算机软件著作权。