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李翀

教研系列准聘副教授

E-mail: chongli@tsinghua.edu.cn

  • 个人简历

  • 研究工作

  • 学术论著(*通讯作者,#共一作者)

  • 学术荣誉及奖励

教育背景

2011.08 ~ 2017.07,清华大学,工学博士(机械工程)

2013.10 ~ 2016.12,荷兰代尔夫特理工大学,博士(智能系统)国家留学基金委公派

2007.09 ~ 2011.07,北京林业大学,工学学士

工作履历


2023.02至今, 清华大学临床完美体育·(中国)官方网站&北京清华长庚医院,副教授、博导

2019.10 ~ 2023.01,清华大学机械系,助理研究员

2018.01 ~ 2018.03,美国南加州大学Keck完美体育·(中国)官方网站,访问学者

2017.07 ~ 2019.09,清华大学机械系,博士后



研究领域:医工交叉

研究方向:主要从事智能诊疗、人效增强、生机电一体化等相关技术的研究

研究概述:

清华大学临床完美体育·(中国)官方网站副教授、博导,获清华大学、荷兰代尔夫特理工大学双博士学位,兼任北京清华长庚医院双聘PI,致力于智能诊疗、人效增强、生机电一体化等方面的教学科研工作。获得国家自然科学基金、国家科技重点研发计划、国防创新特区项目等重大、重点项目经费资助,已发表SCI/EI论文四十余篇,入选ESI热点论文(前0.1%),授权国家发明专利十余项并在临床转化,研发成果获2023年中国康复医学会科技成果一等奖。兼任中国生物医学工程学会康复工程分会副秘书长、中国康复辅具协会康复工程分会副秘书长、中国康复医学会脑机接口与康复专委会常委、青年委员会副主任委员等学术兼职,荣获中国科协第五届青年人才托举(2019年中国生物医学工程学会唯一入选者)、北京市科技新星(2023)等人才称号。

1. Sun, J., Jia, T., Lin, P. J., Li, Z., Ji, L., & Li, C*. (2024). Multiscale Canonical Coherence for Functional Corticomuscular Coupling Analysis. IEEE Journal of Biomedical and Health Informatics, 28(2), 812-822.

2. Li, W., Li, C.*, Liu, A., Lin, P. J., Mo, L., Zhao, H., ... & Ji, L. (2023). Lesion-specific cortical activation following sensory stimulation in patients with subacute stroke. Journal of NeuroEngineering and Rehabilitation, 20(1), 155.

3. Li, Z., Li, W., Lin, P. J., Jia, T., Ji, L., & Li, C.* (2023). Motor-Respiratory Coupling Improves Endurance Performance during Rhythmic Isometric Handgrip Exercise. Medicine and Science in Sports and Exercise, 10-1249.

4. Jia, T.#, Li, C#,*, Mo, L., Qian, C., Li, W., Xu, Q., Pan, Y., Liu, A.*, & Ji, L*. (2023). Tailoring brain–machine interface rehabilitation training based on neural reorganization: towards personalized treatment for stroke patients. Cerebral Cortex, 33(6), 3043-3052.

5. Sun, J.#, Jia, T.#, Li, Z., Li, C*, & Ji, L. (2023). Enhancement of EEG-EMG coupling detection using corticomuscular coherence with spatial-temporal optimization. Journal of Neural Engineering, 20(3), 036001.

6. Lin, P. J., Zhai, X., Li, W., Li, T., Cheng, D., Li, C*, Pan, Y. *, & Ji, L. (2022). A transferable deep learning prognosis model for predicting stroke patients' recovery in different rehabilitation trainings. IEEE Journal of Biomedical and Health Informatics, 26(12), 6003-6011.

7. Li, W., Luo, F., Xu, Q., Liu, A., Mo, L., Li, C*, & Ji, L. (2022). Brain oscillatory activity correlates with the relief of post-stroke spasticity following focal vibration. Journal of Integrative Neuroscience, 21(3), 96.

8. Jia, T., Li, C*, Mo, L., Qian, C., Ji, L., & Liu, A*. (2022). Recognizing the individualized sensorimotor loop of stroke patients during BMI-supported rehabilitation training based on brain functional connectivity analysis. Journal of Neuroscience Methods, 378, 109658.

9. Li, W; Li, C*; Liu, P; Li, Y; Xiang, Y; Jia, T., Xu, Q*; Ji, L. (2021). Development and Preliminary Validation of a Pneumatic Focal Vibration System to the Mitigation of Post-Stroke Spasticity, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 29:380-388.

10. Lin, P. J., Jia, T., Li, C*, Li, T., Qian, C., Li, Z., Pan, Y.*, & Ji, L. (2021). CNN-Based Prognosis of BCI Rehabilitation Using EEG From First Session BCI Training. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 29, 1936-1943.

11. Qian, C., Li, W., Jia, T., Li, C.*, Lin, P. J., Yang, Y., & Ji, L. (2021). Quantitative assessment of motor function by an end-effector upper limb rehabilitation robot based on admittance control. Applied Sciences, 11(15), 6854.

12. Li, W., Xu, Q., Li, Y., Li, C.*, Wu, F., & Ji, L. (2021). EEG characteristics in “eyes-open” versus “eyes-closed” condition during vibrotactile stimulation. Biomedical Signal Processing and Control, 68, 102759.

13. Jia, T., Liu, K., Qian, C., Li, C.*, & Ji, L. (2020). Denoising algorithm for event-related desynchronization-based motor intention recognition in robot-assisted stroke rehabilitation training with brain-machine interaction. Journal of Neuroscience Methods, 346, 108909.

14. Xu, Q.#, Li, C. #, Pan, Y.*, Li, W., Jia, T., Li, Z., Ma, D., Pang, X., & Ji, L*. (2020). Impact of smart force feedback rehabilitation robot training on upper limb motor function in the subacute stage of stroke. NeuroRehabilitation, 47(2), 209-215.

15. Jia, T., Liu, K., Lu, Y., Liu, Y., Li, C.*, Ji, L., & Qian, C. (2020). Small-Dimension Feature Matrix Construction Method for Decoding Repetitive Finger Movements From Electroencephalogram Signals. IEEE Access, 8, 56060-56071.

16. Li C. #, Jia T. #, Xu Q., Ji L.*, Pan Y*. (2019). Brain-computer interface channel-selection strategy based on analysis of event-related desynchronization topography in stroke patients. Journal of Healthcare Engineering, 2019:1-12.

17. Li W, Li C, Xiang Y, Ji L*, Hu H, Liu Y. (2019). Study of the activation in sensorimotor cortex and topological properties of functional brain network following focal vibration in healthy subjects and subacute stroke patients: an EEG Study. Brain research, 1722, 146338.

18. Li, C*, Rusak, Z., Horvath, I., Kooijman, A., & Ji, L. (2017). Implementation and validation of engagement monitoring in an engagement enhancing rehabilitation system. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 25(6), 726-738.

19. Li, C*, Rusák, Z., Horváth, I., & Ji, L. (2016). Development of engagement evaluation method and learning mechanism in an engagement enhancing rehabilitation system. Engineering Applications of Artificial Intelligence, 51, 182-190.

20. Li, C*, Rusák, Z., Horváth, I., & Ji, L. (2016). Validation of the reasoning of an entry-level cyber-physical stroke rehabilitation system equipped with engagement enhancing capabilities. Engineering Applications of Artificial Intelligence, 56, 185-199.

近期授权专利

1. 一种软体手机器人,2023-03-14至,中国,ZL202111250165.0

2. 局部振动康复训练设备,2023-03-14,中国,ZL202111250175.4.

3. 一种基于双脑耦合特征的脑机接口控制方法及系统,2023-01-13至,中国,ZL202211375933.X.

4. 软体手外骨骼辅助的手部快速牵拉装置,2022-11-15至,中国,ZL202111248200.5.

5. 一种软体驱动器,2022-10-25至,中国,ZL202110410798.7.

6. 一种康复效率预测方法、及其训练装置和计算机设备,2022-07-06至, 中国,ZL202110593146.1.

7. 基于事件相关电位分布的脑机接口导联选择方法,2022-01-10至, 中国,ZL201911251414.0

8. 用于脑损伤后的脑机交互闭环康复机器人控制方法,2021-11-26至, 中国,ZL202010725801.X.

9. 基于力、位置信息评估上肢运动功能的方法及系统,2021-03-16至, 中国,ZL201911243593.3.

10. 基于度信息的脑电特征电位溯源方法,2020-07-17至, 中国,ZL201910891136.9.


(1)入选中国科协第五届(2019-2021年度)青年人才托举工程——2019年度全国一级学会中国生物医学工程学会唯一入选者

(2)入选北京市科技新星计划(2023)

(3)李翀(2/11),面向精准康复的脑卒中康复机器人和脑机交互技术研究及临床转化,中国康复医学会科学技术一等奖,2023(潘钰;李翀;窦维蓓;徐泉;李伟;贾天宇;翟晓雪;郝泽轩;胥红来;任宇鹏;李欣)

学术兼职

(1)2023.11至今,中国康复医学会脑机接口与康复专委会常委、青年委员会副主任委员

(2)2023.05至今,中国残疾人康复协会康复工程与辅助技术专委会常务委员

(3)2023.04至今,中国生物医学工程学会康复工程分会委员、副秘书长

(4)2023.03至今,中国康复辅具协会康复工程分会委员、副秘书长

(5)2023.03至今,中国老年保健医学研究会数智建康分会委员