Basic Information


王晶，博士，副教授，博士生导师

西安交通大学机械工程学院

机器人与智能系统研究所

 

Educational Experience

2004年2月－2008年6月          西安交通大学机械学院      博士研究生
2002年9月－2004年2月          西安交通大学机械学院      硕士研究生
1998年9月－2002年7月          西安交通大学机械学院      本科

Work Experience

2008年7月－今          
西安交通大学机械学院机器人与智能系统研究所      讲师、副教授 

 

2023年4月

Department of Biomedical Engineering, National University of Singapore, Singapore. Visiting Professor

 

2014年9月－2016年1月        
Department of Electronic Engineering, The Chinese University of Hong Kong, China. Hong Kong Scholar

 

2014年1月－2014年9月        
Division of Biomedical Engineering, The Hong Kong Polytechnic University, China. Hong Kong Scholar


2009年12月－2011年12月        
Department of Physics, Georgetown University, USA. CSC-GU Postdoctoral Fellow

荣誉获奖

 2013年入选国家“香江学者计划”

站点计数器

Contact Information

E-mail：pele.wang@xjtu.edu.cn

Team Members

张小栋，博士，教授，博导，西安交通大学机械学院机器人与智能系统研究所党委书记；
张英杰，博士，教授，西安交通大学机械学院机器人与智能系统研究所教师；

徐海波，博士，教授，西安交通大学机械学院机器人与智能系统研究所教师；
朱爱斌，博士，教授，西安交通大学机械学院机器人与智能系统研究所教师；
史晓军，博士，教授，西安交通大学机械学院机器人与智能系统研究所教师；
张政，博士，副教授，西安交通大学机械学院机器人与智能系统研究所教师；

张东升，博士，副教授，西安交通大学机械学院机器人与智能系统研究所教师；

Research Team

乐赞，博士研究生，新加坡国立大学访问学者，主要研究方向为脑机接口与康复机器人

曲皓，博士研究生，主要研究方向为脑机接口算法

尹帅，博士研究生，主要研究方向为下肢软体康复机器人

祝锦梁，博士研究生，主要方向为人形机器人

孙文奇，长学制博士研究生，主要研究方向为介入式脑机接口

胡晓，硕士研究生，主要研究方向为正念脑机接口

傅硕，硕士研究生，主要研究方向为脑机接口中的深度学习算法、下肢运动意图解码

肖鹏，硕士研究生，主要研究方向为正念脑机接口

左翠明，硕士研究生，主要研究方向为脑机接口

程泽宇，硕士研究生，主要研究方向为人形机器人

孙振洲，硕士研究生，主要研究方向为人形机器人

 

学术交流

2015年3月28日, Hong Kong Scholars Annual Symposium “Development of a brain computer interface system with neurofeedback to facilitate the activation of the mirror neuron system for stroke rehabilitation”,Hong Kong (Oral Presentation)

Research Fields

目前从事脑科学、智能机器人相关研究，具体包括：


1、脑机接口技术
   ->非侵入式脑机接口方面，重点研究脑机接口的新型范式、算法；

   ->介入式脑机接口方面，重点研究一体化电极支架的材料、制备工艺，侵入式脑电信号的采集方案，以及面向动物、人体的临床试验。

 

2、康复机器人

   ->重点研究康复机器人的设计、实现、控制及临床应用。

 

 

3、人形机器人

   ->重点研究表情机器人的设计、实现、控制方法；

   ->人-人形机器人的人机交互机制与机理。

Science Project

No entries were found.
Project number Project name Project origin Start time Roles Project kind
62373295 基于脑器交互框架的舌-机接口康复机理与交互方法研究 国家自然科学基金项目 2024-01~2027-12 负责人 Vertical project
2022 NRR-神经康复机器人研究院委托项目 其他 2022-07~2029-07 负责人 horizontal project
2014M552431 基于脑机接口的下肢康复机器人关键技术研究 中国博士后科学基金面上项目 2014-6~ 负责人 Vertical project
XJ2013045 外骨骼机器人系统 - 老人和中风康复医学工程 “香江学者”人才计划项目 2014-2~ 负责人 Vertical project
2014-413264 Brain Computer Interface (BCI) System for Stroke Rehabilitation Direct Grant--The Chinese University of Hong Kong 2014-11~ 骨干成员 Vertical project
2013回国基金21 驾驶员疲劳机理及疲劳驾驶检测方法研究 国家教育部项目 2013-9~ 负责人 Vertical project
2012 脑肌多源信息运动融合感知与交互控制技术及康复机器人应用验证 机械制造系统工程国家重点实验室自主课题 2012-1~2013-12 负责人 Vertical project
51005176 基于驾驶员操作行为和生物电信号的疲劳驾驶早期预警方法研究 国家自然科学基金项目 2011-1~ 负责人 Vertical project
JXXK2009 基于多导头皮脑电信号复杂特征提取的癫痫多样特征波自动检测技术研究 西安交通大学交叉学科资助项目 2011-1~ 骨干成员 Vertical project
20100201120003 基于驾驶员操作行为和生物电信号的疲劳驾驶早期预警方法研究 教育部新教师基金 2011-1~ 负责人 Vertical project
51175412 基于幅值调制视觉诱发电位的智能轮椅高效预瞄导航技术研究 国家自然科学基金项目 2011-1~ 骨干成员 Vertical project
XJTU-HRT-002 癫痫脑电图自动判读关键技术研究 西安交通大学新教师科研支持计划 2010-1~ 负责人 Vertical project
XJJ2009012 基于多对象交替控制策略的异步脑机接口技术研究 中央高校基本科研经费资助项目 2009-9~2011-10 负责人 Vertical project
YJJ2008 基于多导头皮脑电复杂特征提取的癫痫辅助诊断和发作预报方法研究 西安交通大学机械学院青年教科研基金 2009-1~ 负责人 Vertical project
20 Entries Per Page

Showing 1 to 14 of 14 entries.

Awards

No entries were found.
Awards Name Year Awards Type Awards Level Offer
流程工业设备数字化点检技术研究与系统开发 2005 省部级科技成果奖 二等奖 教育部

Patent

No entries were found.
Patent Name Application Number xjtu.gr.patent.type Application Date
基于脑电源定位方法的人体精神状态检测方法 201310466293.8 Invention 2013.01.01
基于幅值调制视觉诱发电位脑-机接口方法 201110259018X Invention 2011.08.29
基于HHT高频组合编码稳态视觉诱发电位脑机接口方法 201010528266.5 Invention 2010.10.21

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Link to Google Scholar Citations: http://scholar.google.com.hk/citations?hl=en&user=5SYV3CsAAAAJ

 

 

2023

  1. Shuai Yin, Bin Shi, Gang Liu, Jing Wang*, Chunhong Zhao. Electromagnetic Clutch-based Ankle Exosuit for Assisting Stroke Survivors with Different Body Sizes, IEEE Robotics and Automation Letters, 2023. (SCI, Q2, IF=5.01)
  2. Weizhen Wang, Jing Wang*. Enhanced Lower-limb Motor Imagery by Kinesthetic Illusion, Frontiers in Neuroscience, 2023. (SCI, Q2, IF=5.152)
  3. Yanghao Lei, Dong Wang, Weizhen Wang, Hao Qu, Jing Wang*. Improving single-hand open/close Motor Imagery classification by error-related potentials correction, Heliyon, 2023. (SCI, IF=4.0)

2022

  1. Bin Shi, Xiaokai Chen, Zan Yue, Feixiang Zeng, Shuai Yin, Benguo Wang, Jing Wang*. Feature Optimization Based on Improved Novel Global Harmony Search Algorithm for Motor Imagery EEG Classification, Frontiers in Computational Neuroscience, DOI: 10.3389/fncom.2022.1004301, 2022. (SCI, Q2, IF=3.39)
  2. Gang Liu, Yajing Pang, Shuai Yin, Xiaoke Niu, Jing Wang* and Hong Wan. Dendrite Net with Acceleration Module for Faster Nonlinear Mapping and System Identification, Mathematica, 2022 (SCI, Q1, IF=2.59)
  3. Jing Wang*, Jinhua Zhang, Haoyong Yu, Bin Shi. Editorial Human Machine Interface-based Neuromodulation Solutions for Neurorehabilitation, Frontiers in Neuroscience, 2022. (SCI, Q2, IF=5.152)
  4. Bin Shi, Zan Yue, Shuai Yin, Weizhen Wang, Haoyong Yu, Zhen Huang, Jing Wang (通讯作者). Adaptive binary multi-objective harmony search algorithm for channel selection and cross-subject generalization in motor imagery-based BCI. Journal of Neural Engineering, 2022, 19: 046022. (SCI, IF=5.043)
  5. Zan Yue, Qiong Wu, Shiyuan Ren, Man Li, Bin Shi, Yu Pan, Jing Wang (通讯作者).  A novel Multiple Time-Frequency Sequential Coding strategy for Hybrid Brain-Computer Interface. Frontiers in Human Neuroscience. (SCI, IF=3.473)
  6. Hao Qu, Feixiang Zeng, Yongbin Tang, Bin Shi, Xiaokai Chen, Jing Wang(通讯作者). The clinical effects of Brain-computer interface with robot on upper-limb function for post-stroke rehabilitation：a meta-analysis and systematic review. Disability and Rehabilitation: Assistive Technology,2022. (SCI, IF=1.834)
  7. Gang Liu, Jing Wang(通讯作者). EEGG: An Analytic Brain-computer Interface Algorithm, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022. (SCI, Q1, IF=4.528)
  8. Xin Li, Lu Wang, Si Miao, Zan Yue, Zhiming Tang, Liujie Su, Yadan Zheng, Xiangzhen Wu, Shan Wang, Jing Wang(通讯作者), and Zulin Dou. SMR- BCI with audio-cue, motor observation and  multisensory feedback for upper-limb stroke rehabilitation: A controlled study, Frontiers in Neuroscience, 2022. (SCI, Q2, IF=5.152)
  9. Gang Liu, Jing Wang(通讯作者). A Realtion Spectrum Inheriting Taylor Series: Muscle Synergy and Coupling for Hand, Frontiers of Information Technology & Electronic Engineering, 2022. (SCI, Q2, IF=2.526)

2021

  1. Gang Liu, Jing Wang(通讯作者). Dendrite Net: A White-Box Module for Classification, Regression, and System Identification, IEEE Transactions on Cybernetics, 2021, DOI: 10.1109/TCYB.2021.3124328. (SCI, Q1, IF=19.118，被引频次5)
  2. Bin Shi, Quan Wang, Shuai Yin, Zan Yue, Yaping Huai, Jing Wang(通讯作者). A Binary Harmony Search Algorithm as Channel Selection Method for Motor Imagery-Based BCI, NeuroComputing, 2021, 443: 12~25 (SCI, IF=5.779，被引频次8).

2020

  1. 吴琼，乐赞，葛云祥，马迪，赵红亮，王晶，窦维蓓，潘钰. 包含脑机接口的综合康复训练对脑卒中上肢运动功能影响的静息态功能性磁共振研究. 中国康复理论与实践, 2020, 26(1): 77~84.
  2. Qiong Wu, Zan Yue, Yunxiang Ge, Di Ma, Hang Yin, Hongliang Zhao, Gang Liu, Jing Wang(通讯作者）, Weibei Dou, Yu Pan. Brain Functional Networks Study of Subacute Stroke Patients with Upper Limb Dysfunction after Comprehensive Rehabilitation including BCI Training, Frontiers in Neurology, 2020, 10.3389/fneur.2019.01419 (SCI,IF=4.086，被引频次18).
  3. 王璐，陈晓峰，范建中，郭毅，边颖，唐海俪，王晶. 康复机械手在新冠疫情期间偏瘫手功能训练中的临床应用探索，中国康复医学杂志，已录用.
  4. Gang Liu, Lu Wang, Jing Wang(通讯作者). A novel energy-motion model for continuous sEMG decoding from muscle energy to motor pattern, Journal of Neural Engineering, 2020, 10.1088/1741-2552 (SCI, IF=5.043，被引频次2)

2019

  1. Bin Shi, Xiaofeng Chen, Zan Yue, Shuai Yin, Qipeng Weng, Xue Zhang, Jing Wang (通讯作者) and Weina Wen. Wearable Ankle Robots in Post-stroke Rehabilitation of Gait: A Systematic Review, Frontiers in Neurorobotics, 2019, 10.3389/fnbot.2019.00063(SCI: IR8AC, IF=3.493，被引频次24)

2018

  1. Kai Zhang, Xiaofeng Chen, Fei Liu, Haili Tang, Jing Wang (通讯作者) and Weina Wen. System Framework of Robotics in Upper Limb Rehabilitation on Poststroke Motor Recovery, Behavioural Neurology, 2018, 10.1155/2018/6737056 (SCI: HN6NG, IF=3.112，被引频次12)

2017

  1. Xue Zhang, Zan Yue, Jing Wang (通讯作者). Robotics in lower-limb rehabilitation after stroke, Behavioural Neurology, 2017, 10.1155/2017/3731802 (SCI: FL9NJ, IF=3.112，被引频次42)
  2. Rui Sun, Wan-wa Wong, Jing Wang, Raymond Kai-yu Tong. Changes in Electroencephalography Complexity using a Brain Computer Interface-Motor Observation Training in Chronic Stroke Patients: A Fuzzy Approximate Entropy Analysis. Frontiers in Human Neuroscience, 11:444. doi: 10.3389/fnhum.2017.00444 (SCI, IF=3.473，被引频次23)
  3. Zan Yue, Xue Zhang, Jing Wang (通讯作者). Hand Rehabilitation Robotics on Post-Stroke Motor Recovery, Behavioural Neurology, 2017, 10.1155/2017/3908135 (SCI: EY1YV, IF=3.112)
  4. 郭晓辉，王晶（通讯作者），徐光华. 手部功能康复机器人研究最新进展，中国康复医学杂志，2017, 32(2): 235-240

2016

  1. Yingying Wu, Man Li, Jing Wang(通讯作者). Toward A Hybrid Brain-Computer Interface Based on Repetitive Visual Stimuli with Missing Events, Journal of NeuroEngineering and Rehabilitation, 2016, 13: 66. (SCI, JCR 一区，IF=5.208，被引频次9)
  2. 郭晓辉，王晶(通讯作者)，杨扬，张鑫，徐光华. 基于虚拟现实的下肢主被动康复训练系统研究，西安交通大学学报，2016，50(2): 124-131.
  3. Jun Xie, Guanghua Xu, Jing Wang, et al. Effects of Mental Load and Fatigue on Steady-State Evoked Potential Based Brain Computer Interface Tasks: A Comparison of Periodic Flickering and Motion-Reversal Based Visual Attention, Plos One, 2016, 11(9): e0163426. (SCI, IF=3.752，被引频次54)

2015

  1. Lili Li, Jing Wang, Guanghua Xu, et al. The Study of Object-Oriented Motor Imagery Based on EEG Suppression, Plos One, 2015, 10(12): e0144256. (SCI: CZ1YS, IF= 3.752，被引频次16)

2014

  1. Jing Wang, Yingying Wu, Hao Qu, et al. EEG-based fatigue driving detection using correlation dimension, Journal of Vibroengineering, 2014, 16(1), 407-413. (SCI:AB1BE，被引频次10)
  2. Jinhua Zhang, Jiongjian Wei, Baozeng Wang, Jun Hong, Jing Wang. Nonlinear EEG Decoding Based on a Particle Filter, BioMed Research International, 2014, 2014:159486 (SCI:AH7EH, IF=3.246)
  3. Jun Xie, Guanghua Xu, Jing Wang, et al. Addition of visual noise boosts evoked potential-based brain-computer interface, Scientific Reports, 2014, 4: 4953. (SCI: AH0LU, IF=4.996)

2013

  1. YongSheng Zhu, Xiaoran Zhu, Jing Wang(通讯作者). Ensemble learning-based intelligent fault diagnosis method using feature partitioning, Journal of Vibroengineering, 2013, 15(3): 1378-1392. (SCI:222YQ)
  2. Qingyu Yang, Di Zhang, Jian Zhuang, Fengwei Sun, Jing Wang. Fault diagnosis method using support vector machine with improved complex system genetic algorithm, Journal of Vibroengineering, 2013, 15(3): 1147-1156. (SCI:222YQ，被引频次3)
  3. Jing Wang, Qing Zhang, Guanghua Xu. Extraction of operation characteristics in mechanical systems using genetic morphological filter, Journal of Vibroengineering, 2013, 15(1): 185-195. (SCI:113BZ，被引频次6)
  4. Jing Wang, Qing Zhang, Yizhuo Zhang, Guanghua Xu. Automatic artifacts removal from epileptic EEG using a hybrid algorithm, Journal of Vibroengineering, 2013, 15(1): 477~487. (SCI:113BZ，被引频次3)
  5. Qing Zhang, Jing Wang(通讯作者), Yizhuo Zhang, Guanghua Xu. Numerical simulation and manifold learning for the vibration of molten steel draining from a ladle, Journal of Vibroengineering, 2013, 15(2): 549-557. (SCI:168OD)
  6. Lili Li, Guanghua Xu, Jing Wang(通讯作者), Xiaowen Cheng. Automatic Detection of Epileptic Slow-waves in EEG Based on Empirical Mode Decomposition and Wavelet Transform, Journal of Vibroengineering, 2013, 15(2): 961-970. (SCI:168OD，被引频次4)
  7. Shuanfeng Zhao, Lin Liang, Guanghua Xu, Jing Wang, Wenming Zhang. Quantitative diagnosis of a spall-like fault of a rolling element bearing by empirical mode decomposition and the approximate entropy method, Mechanical Systems and Signal Processing, 2013, 40(1): 154-177. (SCI: 210BA, IF=8.934，被引频次109)
  8. Wang Jing, Xu Guanghua, Xie Jun, et. al. EEG processing and its application in brain-computer interface, Engineering Sciences, 2013, 11(1): 54-61.
  9. 王晶，韩丞丞，徐光华. 基于小波熵的视觉疲劳检测方法研究，中国科技论文在线，2013.
  10. 徐光华, 张锋, 王晶, 谢俊, 李叶平, 张四聪.面向智能轮椅脑机导航的高频组合编码稳态视觉诱发电位技术研究, 机械工程学报, 2013, 49(6): 21~29. (EI：20131616214622，被引频次9)

2012

  1. Qing Zhang, Jing Wang (通讯作者), Guanghua Xu. A New Density Estimation Neural Network to Detect Abnormal Condition in Streaming Data, Journal of Vibroengineering, 2012, 14(2): 621~632. (SCI: 960AZ，引用2次)
  2. Jun Xie, Guanghua Xu, Jing Wang, et al. Steady-state motion visual evoked potentials produced by oscillating Newton’s rings: implications for brain-computer interfaces, PLoS ONE, 2012, 7(6): e39707. (SCI: 963VI，IF=3.752，被引频次56)
  3. Alfredo Gonzalez-Sulser, Jing Wang, Bridget N. Queenan, Massimo Avoli, Stefano Vicini, Rhonda Dzakpasu. Hippocampal neuron firing and local field potentials in the in vitro 4-aminopyridine epilepsy model, Journal of Neurophysiology, 2012, 108(9): 2568-2580. (SCI: 032GM，IF=2.974，被引频次20)
  4. Wang Jing, Xu Guanghua, Xie Jun, et. al. Some highlights on EEG-based brain computer interface, 中国科技论文在线，2012.

2011

  1. Jing Wang, Qing Zhang, Guanghua Xu. Genetic Stochastic Resonance A New Fault Diagnosis Method to Detect Weak Signals in Mechanical Systems. Advanced Science Letters, 2011, 4(6~7): 2508~2512. (SCI: 822OI，被引频次9)
  2. Alfredo GONZALEZ-SULSER, Jing WANG(并列第一作者), Stefano VICINI, Gholam K. MOTAMEDI, Massimo AVOLI, and Rhonda DZAKPASU. The 4-Aminopyridine in Vitro Epilepsy Model Analyzed with a Perforated Multi-electrode Array. Neuropharmacology, 2011, 60: 1142~1153. (SCI: 764RB，JCR 二区，IF=5.273，被引频次49)
  3. 张庆，王晶，徐光华，程晓文. 基于免疫优化形态学滤波器的癫痫棘波检测方法，中国科技论文在线，2011.

2010

  1. 王晶，张庆，梁霖，张熠卓，徐光华. 采用遗传算法的自适应随机共振系统弱信号检测方法研究. 西安交通大学学报 [J], 2010，44(3):32~36. (EI: 20101712897019)
  2. Yizhuo Zhang, Guanghua Xu, Jing Wang (通讯作者), Lin Liang. An automatic patient-specific seizure onset detection method in intracranial EEG based on incremental nonlinear dimensionality reduction. Computers in Biology and Medicine [J], 2010, 40: 889~899. (SCI: 692SF, IF=6.698，被引频次21)
  3. A. Gonzalez-sulser, J. Wang, B. Queenan, S. Vicini, G. K. Motamedi, M. Avoli, R. Dzakpasu, dynamics of network activity from slice preparations using a perforated multi-electrode array in an invitro epilepsy model, Society for Neuroscience 2010, San Diego, USA.

2009

  1. Jing Wang, Guanghua Xu, Qing Zhang, Lin Liang. Application of improved morphological filter to the extraction of impulsive attenuation signals [J], Mechanical Systems and Signal Processing, 2009,23(1):236~245. (SCI：373FR，EI：084311651660，IF=8.934，被引频次87)
  2. Jing Wang, Guanghua Xu. Some Highlights on Epileptic EEG Processing [J]. Recent Patents on Biomedical Engineering (invited paper), 2009, 2(1): 48-57. (EI: 20101812907276).
  3. Yizhuo Zhang, Guanghua Xu, Lin Liang, Jing Wang(通讯作者). Feature extraction methods for fault classification of rolling element bearing based on nonlinear dimensionality reduction and SVMs [C]. 2009 International Conference of Artificial Intelligence and Computational Intelligence. Shanghai, China, November 7-8, 2009: 228-234. (EI: 20101112770159)

2007

  1. Guanghua Xu, Jing Wang(通讯作者), Qing Zhang, Sicong Zhang, Junming Zhu. A Spike Detection Method in EEG Based on Improved Morphological Filter, Computers in Biology and Medicine [J], 2007, 37(11): 1647~1652. (SCI：220VL，IF=6.698，被引频次38)
  1. Guanghua Xu, Jing Wang(通讯作者), Qing Zhang, Junming Zhu. An Epileptic Seizure Prediction Algorithm From Scalp EEG Based on Morphological Filter and Kolmogorov Complexity [J], Lecture Notes in Computer Science, 2007, 4561: 736~746. (EI：080411041823, ISTP:)
  2. 王晶，徐光华，张庆. 经验模态分解和Kolmogorov测度的癫痫预测算法[J]. 西安交通大学学报，2007，41(11):1364~1367. (EI：075110983370)
  3. 王晶，徐光华，张四聪，朱君明.基于形态学滤波器的棘波提取技术[J].中国生物医学工程学报，2007, 26(1):69~73
  4. Jing Wang, Guanghua Xu, Qing Zhang. Feature extraction of impulsive-type periodic signals using morphological filter [C]. WCEAMCM 2007, 2018~2027.

2006

  1. Guanghua Xu, Jing Wang(通讯作者), Qing Zhang, Junming Zhu. An automatic EEG spike detection algorithm using morphological filter [C]. Proceedings of the 2006 IEEE conference on automation science and engineering. Shanghai, China, October 7-10, 2006: 180~185. (EI：082511327549)
  2. 王晶，张庆，张四聪，徐光华. 基于PDA的点检手抄表开发与应用[C],第12届全国设备监测与诊断学术会议. 机械工业出版社. 2006:601~607.

2004

  1. Jing Wang, Qing Zhang, Sicong Zhang, Dan Liu, Guanghua Xu. A data collector for route inspection based on palm handheld in industry [C]. International Federation for Information Processing, 2004, Vol. 205, Research and Practical Issues of Enterprise Information Systems. 489~498.