基本信息
李永程  男    中国科学院深圳先进技术研究院
电子邮件: li.yc@siat.ac.cn
通信地址: 广东省深圳市南山区学苑大道1068号
邮政编码:

研究领域

脑机接口;

运动康复工程;

神经接口;

神经信号处理;

神经工程与功能康复等;

具体可参阅https://liyongcheng1.github.io/liych.github.io

招生信息

生物医学工程:1-2名硕士研究生

电子信息工程:1-2名硕士研究生

计算机科学:1-2名硕士研究生

其他:对我研究领域感兴趣的1-2名硕士研究生

招生专业
083100-生物医学工程
0812J3-生物信息学
招生方向
脑机接口,康复工程,神经工程,生物医学信号处理

教育背景

2009-09--2016-01   中国科学院沈阳自动化所   博士
2005-09--2009-06   中国科学技术大学   学士

工作经历

   
工作简历
2017-09~2020-10,加州大学尔湾分校(UCI), 博士后
2016-04~2017-04,新加坡国立大学(NUS), 博士后研究员

出版信息

   
发表论文
[1] Geng, Yanjuan, Liuni Qin, Yongcheng Li, Zhebin Yu, Linling Li, Mojisola Grace Asogbon, Yang Zhan, Nan Yan, Xin Guo, Guanglin Li. Identifying Oscillations under Multi-site Sensory Stimulation for High-level Peripheral Nerve Injured Patients:A Pilot Study. JOURNAL OF NEURAL ENGINEERING[J]. 2022, [2] Yanjuan Geng, Zhebin Yu, Yucheng Long, Liuni Qin, Ziyin Chen, Yongcheng Li, Xin Guo, Guanglin Li. A CNN-Attention Network for Continuous Estimation of Finger Kinematics from Surface Electromyograms. IEEE ROBOTICS AND AUTOMATION LETTERS[J]. 2022, [3] Robert D Flint, Yongcheng Li, Po T Wang, Mukta Vaidya. Noninvasively recorded high-gamma signals improve synchrony of force feedback in a novel neurorehabilitation brain–machine interface for brain injury. JOURNAL OF NEURAL ENGINEERING[J]. 2022, 19(2022)(3): https://iopscience.iop.org/article/10.1088/1741-2552/ac7004?casa_token=aGFYMeMyoqwAAAAA:nE5HHEiIR4WWNv9m0-wBCFjpajjne2jsOTkZnAbCoSOh-7_JqUd5DS6yFUHHlHtR_UsMM0rRcmDD.
[4] Li, Yongcheng, Wang, Po T, Vaidya, Mukta P, Flint, Robert D, Liu, Charles Y, Slutzky, Marc W, Do, An H. Electromyogram (EMG) Removal by Adding Sources of EMG (ERASE)-A Novel ICA-Based Algorithm for Removing Myoelectric Artifacts From EEG. FRONTIERS IN NEUROSCIENCE[J]. 2021, 14: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7873899/.
[5] Li, Yongcheng, Wang, Po T, Vaidya, Mukta P, Flint, Robert D, Liu, Charles Y, Slutzky, Marc W, Do, An H. Refinement of High-Gamma EEG Features From TBI Patients With Hemicraniectomy Using an ICA Informed by Simulated Myoelectric Artifacts. FRONTIERS IN NEUROSCIENCE[J]. 2020, 14: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7732541/.
[6] Vaidya, Mukta, Flint, Robert D, Wang, Po T, Barry, Alex, Li, Yongcheng, Ghassemi, Mohammad, Tomic, Goran, Yao, Jun, Carmona, Carolina, Mugler, Emily M, Gallick, Sarah, Driver, Sangeeta, Brkic, Nenad, Ripley, David, Liu, Charles, Kamper, Derek, Do, An H, Slutzky, Marc W. Hemicraniectomy in Traumatic Brain Injury: A Noninvasive Platform to Investigate High Gamma Activity for Brain Machine Interfaces. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING[J]. 2019, 27(7): 1467-1472, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7577111/.
[7] Wang, Po T, Camacho, Everardo, Wang, Ming, Li, Yongcheng, Shaw, Susan J, Armacost, Michelle, Gong, Hui, Kramer, Daniel, Lee, Brian, Andersen, Richard A, Liu, Charles Y, Heydari, Payam, Nenadic, Zoran, Do, An H. A benchtop system to assess the feasibility of a fully independent and implantable brain-machine interface. JOURNAL OF NEURAL ENGINEERING[J]. 2019, 16(6): 066043-066043, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7271898/.
[8] Li Yongcheng. A novel algorithm for removing artifacts from EEG data. EMBC. 2018, [9] Li, Yongcheng, Sun, Rong, Wang, Yuechao, Li, Hongyi, Zheng, Xiongfei. A Novel Robot System Integrating Biological and Mechanical Intelligence Based on Dissociated Neural Network-Controlled Closed-Loop Environment. PLOS ONE[J]. 2016, 11(11): https://doaj.org/article/66eef62f52fa4ac79eca8199655662dc.
[10] Yongcheng Li, Rong Sun, Bin Zhang, Yuechao Wang, Hongyi Li. Application of Hierarchical Dissociated Neural Network in Closed-Loop Hybrid System Integrating Biological and Mechanical Intelligence. PLOS ONE[J]. 2015, 10(5): http://www.irgrid.ac.cn/handle/1471x/971170.

科研活动

   
参与会议
(1)A novel algorithm for removing artifacts from EEG data   2018-07-02