基本信息

李永程  男  博导  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名博士或者硕士研究生

招生专业
083100-生物医学工程
081104-模式识别与智能系统
081101-控制理论与控制工程
招生方向
脑机接口,康复工程,神经工程,生物医学信号处理
人工智能,智能控制

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
2021-04~现在, 中国科学院深圳先进技术研究院, 副研究员
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, 第 3 作者19(3): 
[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, 第 6 作者
[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, 第 2 作者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, 第 1 作者  通讯作者  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, 第 1 作者  通讯作者  14: https://doaj.org/article/8a93baf5169f498ab60bccb61b1eae3a.
[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, 第 5 作者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. JOURNALOFNEURALENGINEERING[J]. 2019, 第 4 作者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, 第 1 作者
[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, 第 1 作者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, 第 1 作者10(5): http://www.irgrid.ac.cn/handle/1471x/971170.

科研活动

   
科研项目
( 1 ) 重 2023N 脑机应用的体域网多模态信息融合关键技术研究, 负责人, 地方任务, 2024-01--2025-12
( 2 ) 具有触觉反馈的闭环脑机接口系统在脑卒中上肢运动康复中的机制探索和应用研究, 负责人, 国家任务, 2022-07--2027-06
( 3 ) 基于闭环脑机接口的脑卒中上肢运动障碍康复技术, 负责人, 研究所自主部署, 2022-03--2024-02
参与会议
(1)A novel algorithm for removing artifacts from EEG data   2018-07-02

指导学生

现指导学生

郁得志  硕士研究生  085400-电子信息