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Long Chen 0017
Person information
- affiliation: Tianjin University, College of Precision Instruments and Optoelectronics Engineering, Tianjin, China
Other persons with the same name
- Long Chen — disambiguation page
- Long Chen 0001 — University of Macau, Department of Computer and Information Science, China (and 1 more)
- Long Chen 0002 — University of California at Irvine, Department of Mathematics, CA, USA (and 1 more)
- Long Chen 0003 — Jiangsu University, Automotive Engineering Research Institution, Zhenjiang, China
- Long Chen 0004 — University of Texas at Austin, TX, USA
- Long Chen 0005 — Chinese Academy of Sciences, Institute of Automation, State Key Laboratory of Multi-modal Artificial Intelligence, Beijing, China (and 2 more)
- Long Chen 0006 — Guangdong University of Technology, School of Computer Science and Technology, Guangzhou, China
- Long Chen 0007 — Xi'an University of Posts and Telecommunications, School of communications and information engineering, China (and 1 more)
- Long Chen 0008 — University of Glasgow, School of Computing Science, UK (and 1 more)
- Long Chen 0009 — Peking University, Institute of Microelectronics, Beijing, China
- Long Chen 0010 — City University of Hong Kong, Department of Electronic Engineering, Hong Kong
- Long Chen 0011 — University of Nebraska-Lincoln, Department of Biological Systems Engineering, NE, USA (and 1 more)
- Long Chen 0012 — Dalian University of Technology, School of Control Science and Engineering, China
- Long Chen 0013 — Acacia Communications, Holdmdel, NJ, USA
- Long Chen 0014 — RWTH Aachen University, Institute of Imaging and Computer Vision, Aachen, Germany
- Long Chen 0015 — Bournemouth University, Poole, UK
- Long Chen 0016 — Hong Kong University of Science and Technology, Hong Kong (and 2 more)
- Long Chen 0018 — New Jersey Institute of Technology, Newark, NJ, USA (and 2 more)
- Long Chen 0019 — University of Leicester, UK (and 1 more)
- Long Chen 0020 — University of Delaware, Department of Electrical and Computer Engineering, Newark, DE, USA (and 1 more)
- Long Chen 0021 — Southeast University, School of Computer Science and Engineering, Nanjing, China
- Long Chen 0022 — Chongqing University of Posts and Telecommunications, Institute of Computer Forensics, Chongqing, China
- Long Chen 0023 — University of Paris-Sud, Orsay, France
- Long Chen 0024 — Tsinghua University, Computer Science and Technology Department, Beijing, China
- Long Chen 0025 — Simon Fraser University, School of Computing Science, Burnaby, BC, Canada (and 1 more)
- Long Chen 0026 — Huazhong University of Science and Technology, School of Artificial Intelligence and Automation, Wuhan, China
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2020 – today
- 2024
- [j8]Long Chen, Chenghu Tang, Zhongpeng Wang, Lei Zhang, Bin Gu, Xiuyun Liu, Dong Ming:
Enhancing Motor Sequence Learning via Transcutaneous Auricular Vagus Nerve Stimulation (taVNS): An EEG Study. IEEE J. Biomed. Health Informatics 28(3): 1285-1296 (2024) - [j7]Long Chen, Jiatong He, Jiasheng Zhang, Zhongpeng Wang, Lei Zhang, Bin Gu, Xiuyun Liu, Dong Ming:
Influence of Transcutaneous Vagus Nerve Stimulation on Motor Planning: A Resting-State and Task-State EEG Study. IEEE J. Biomed. Health Informatics 28(3): 1374-1385 (2024) - 2023
- [j6]Lei Zhang, Long Chen, Zhongpeng Wang, Xin Zhang, Xiuyun Liu, Dong Ming:
Enhancing Visual-Guided Motor Imagery Performance via Sensory Threshold Somatosensory Electrical Stimulation Training. IEEE Trans. Biomed. Eng. 70(2): 756-765 (2023) - [c18]Zhongpeng Wang, Jinxiang Nan, Yijie Zhou, Long Chen, Shuang Liu, Minpeng Xu, Qi Li, Dong Ming:
Network Properties Analysis in Stroke Patients Based on the resting-state EEG. ICBBE 2023: 174-179 - 2022
- [j5]Zhongpeng Wang, Beibei He, Yijie Zhou, Long Chen, Bin Gu, Shuang Liu, Minpeng Xu, Feng He, Dong Ming:
Incorporating EEG and EMG Patterns to Evaluate BCI-Based Long-Term Motor Training. IEEE Trans. Hum. Mach. Syst. 52(4): 648-657 (2022) - 2021
- [c17]Xiaoyi Guo, Zhongpeng Wang, Feng He, Hongzhi Qi, Long Chen, Chunyu Li, Yanchen Wang, Dong Ming:
A High-Precision, Low-Cost, Wireless, Multi-Channel Electrogastrography System. EMBC 2021: 6779-6782 - [c16]Long Chen, Chenghu Tang, Changyun Li, Wanping Qiu, Zhongpeng Wang, Xin Zhang, Dong Ming:
A Novel Bci Paradigm Combining Visual Imagery and Emotion: A Pilot Study. ICBBE 2021: 143-150 - [c15]Zhongpeng Wang, Cong Cao, Yijie Zhou, Long Chen, Bin Gu, Shuang Liu, Minpeng Xu, Feng He, Dong Ming:
Integrating EEG and NIRS improves BCI performance during motor imagery. NER 2021: 511-514 - [c14]Feng He, Beibei He, Zhongpeng Wang, Long Chen, Bin Gu, Shuang Liu, Minpeng Xu, Dong Ming:
The effects evaluation of a long-term neurofeedback training using coupling EEG-EMG features. NER 2021: 858-861 - 2020
- [j4]Bin Gu, Long Chen, Yufeng Ke, Yijie Zhou, Haiqing Yu, Kun Wang, Dong Ming:
The effects of varying levels of mental workload on motor imagery based brain-computer interface. Int. J. Embed. Syst. 12(3): 315-323 (2020) - [j3]Xin Zhang, Ryan C. N. D'Arcy, Long Chen, Minpeng Xu, Dong Ming, Carlo Menon:
The Feasibility of Longitudinal Upper Extremity Motor Function Assessment Using EEG. Sensors 20(19): 5487 (2020) - [c13]Qiangfan Meng, Jiayuan Meng, Minpeng Xu, Shuang Liu, Long Chen, Dong Ming:
Timing Prediction Changes the Signatures of Alpha-Band Functional and Effective Connectivity. EMBC 2020: 2392-2395 - [c12]Liang Yue, Xiaolin Xiao, Minpeng Xu, Long Chen, Yijun Wang, Tzyy-Ping Jung, Dong Ming:
A brain-computer interface based on high-frequency steady-state asymmetric visual evoked potentials*. EMBC 2020: 3090-3093
2010 – 2019
- 2019
- [c11]Lei Zhang, Long Chen, Zhongpeng Wang, Shuang Liu, Mengya Wang, Shanguang Chen, Dong Ming:
Study on brain computer interface combined tactile enhancement and time-varying features. EMBC 2019: 3042-3045 - [c10]Shanshan Zhang, Kun Wang, Minpeng Xu, Zhongpeng Wang, Long Chen, Faqi Wang, Lixin Zhang, Dong Ming:
Analysis and Classification for Single-Trial EEG Induced by Sequential Finger Movements. EMBC 2019: 4541-4544 - [c9]Zhongpeng Wang, Yijie Zhou, Long Chen, Bin Gu, Shuang Liu, Minpeng Xu, Hongzhi Qi, Feng He, Dong Ming:
A visual-haptic neurofeedback training improves sensorimotor cortical activations and BCI performance. EMBC 2019: 6335-6338 - [c8]Mengya Wang, Long Chen, Zhongpeng Wang, Lei Zhang, Xiaosong Gu, Dong Ming:
Cortical Activations and BCI Performances at Different Speeds of Visual and Proprioceptive Stimulation. EMBC 2019: 6762-6765 - 2018
- [j2]Yawei Zhao, Zhongpeng Wang, Zhen Zhang, Jing Liu, Long Chen, Hongzhi Qi, Xuejun Jiao, Feng He, Peng Zhou, Dong Ming:
A transplantation of subject-independent model in cross-platform BCI. Int. J. Mach. Learn. Cybern. 9(6): 959-967 (2018) - [c7]Zhongpeng Wang, Long Chen, Weibo Yi, Bin Gu, Shuang Liu, Xingwei An, Minpeng Xu, Hongzhi Qi, Feng He, Baikun Wan, Dong Ming:
Enhancement of cortical activation for motor imagery during BCI-FES training*. EMBC 2018: 2527-2530 - 2017
- [c6]Bin Gu, Long Chen, Yufeng Ke, Shuang Liu, Jiabei Tang, Zhongpeng Wang, Yijie Zhou, Haiqing Yu, Dong Ming:
The effects of cognitive parallel task with varying memory load on motor imagery BCI. iCAST 2017: 432-435 - 2016
- [j1]Minpeng Xu, Jing Liu, Long Chen, Hongzhi Qi, Feng He, Peng Zhou, Baikun Wan, Dong Ming:
Incorporation of Inter-Subject Information to Improve the Accuracy of Subject-Specific P300 Classifiers. Int. J. Neural Syst. 26(3): 1650010:1-1650010:12 (2016) - 2015
- [c5]Long Chen, Zhongpeng Wang, Feng He, Jiajia Yang, Hongzhi Qi, Peng Zhou, Baikun Wan, Dong Ming:
An online hybrid brain-computer interface combining multiple physiological signals for webpage browse. EMBC 2015: 1152-1155 - [c4]Yawei Zhao, Zhongpeng Wang, Jing Liu, Long Chen, Guifang Meng, Hongzhi Qi, Feng He, Peng Zhou, Dong Ming:
The research on cross-platform transplantation of generic model on subject-independent BCI. iCAST 2015: 190-193 - [c3]Minpeng Xu, Jing Liu, Long Chen, Hongzhi Qi, Feng He, Peng Zhou, Xiaoman Cheng, Baikun Wan, Dong Ming:
Inter-subject information contributes to the ERP classification in the P300 speller. NER 2015: 206-209 - [c2]Shenglong Jiang, Long Chen, Zhongpeng Wang, Jiapeng Xu, Cheng Qi, Hongzhi Qi, Feng He, Dong Ming:
Application of BCI-FES system on stroke rehabilitation. NER 2015: 1112-1115 - 2011
- [c1]Jiangang Yang, Xuan Gao, Baikun Wan, Dong Ming, Xiaoman Cheng, Hongzhi Qi, Xingwei An, Long Chen, Shuang Qiu, Weijie Wang:
Intensity Analysis of Surface Myoelectric Signals from Lower Limbs during Key Gait Phases by Wavelets in Time-Frequency. HCI (8) 2011: 479-488
Coauthor Index
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last updated on 2024-12-26 00:51 CET by the dblp team
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