2015.09-2021.06，上海交通大学，机械工程，博士
2011.09-2015.07，厦门大学，机械设计制造及其自动化，学士

2023.10 至今，必赢线路检测中心，助理教授
2021.06-2023.09，必赢线路检测中心，博士后

研究方向：生机电机器人与神经交互技术

研究课题：
* 生机电一体化系统设计与控制（bio-robotics design and control）
* 运动单位放电活动非侵入式测量（non-invasive decoding of motor unit action potentials）
* 人体运动的神经编码机制（neurophysiology underlying human movements）
* 智能假肢与康复技术（intelligent prosthetics and rehabilitation techniques)

实验室正在招收本科、硕士和博士研究人员，25级专硕/硕博、26级硕/博名额开放申请中，欢迎感兴趣的同学咨询！

1、国家自然科学基金青年项目，“基于表面肌电-超快超声融合的神经放电无创溯源及其接口技术”，负责人，2023-2025
2、国家自然科学基金重大科研仪器研制项目，“运动单元放电序列非侵入式记录仪器”，参与，2023-2027
3、国家自然科学基金面上项目，“面向连续运动解码的神经信号驱动肌骨模型研究”，参与，2022-2025
4、国家自然科学基金重大研究计划集成项目，“面向肢体运动功能重建的生机电一体化机器人技术”，参与，2020-2024
5、中国博士后科学基金面上项目，“基于表面肌电-超快超声融合的运动单元动作电位序列时空同步分解方法研究”，负责人，2022-2023
6、中国博士后科学基金“博新计划”支持项目，“面向多自由度连续运动识别的神经信号无创解码与控制接口研究”，负责人，2021-2023
7、国家重点研发计划“智能机器人”专项课题, “运动-感觉双向神经通路重建”，参与，2019-2022
8、上海市科委基础重大项目，“神经信号测量、解码与神经交互基础研究”，参与，2018-2021
9、国家自然科学基金面上项目，“基于运动单元电位序列的肌电解码与假肢运动控制”，参与，2018-2020

在神经交互、生机电一体化领域国际权威期刊IEEE Journal of Biomedical and Health Informatics、IEEE Transactions on Biomedical Engineering、Journal of Neural Engineering等发表SCI论文30余篇。
【2024】

* C. Chen, J. Zhao, Y. Yu, X. Sheng, and X. Zhu#, "Wrist Torque Estimation by Combining Motor Unit Discharges With Musculoskeletal Model," IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 32, pp. 4249-4259, 2024.

* R. Guo, C. Chen#, and X. Zhu#, "Simultaneous and Proportional Real-time Control of Three-DoF Movements Based on Motor Unit Discharges," IEEE Journal of Biomedical and Health Informatics, pp. 1-12, 2024, doi: 10.1109/JBHI.2024.3504577.

* M. Xia, C. Chen, X. Sheng#, and H. Ding, "Integration of Motor Unit Filters for Enhanced Surface Electromyogram Decomposition During Varying Force Isometric Contraction," IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 32, pp. 2905-2913, 2024

* M. Xia, C. Chen, D. Li, X. Sheng#, and H. Ding, "Simultaneous and proportional control of wrist and finger force via motor unit activity," Biomedical Signal Processing and Control, vol. 103, p. 107399, 2025

* Y. Zhao, C. Chen, B. Lu, X. Zhu, and G. Gu#, "All 3D-Printed Soft High-Density Surface Electromyography Electrode Arrays for Accurate Muscle Activation Mapping and Decomposition," Advanced Functional Materials, vol. 34, no. 14, p. 2312480, 2024

【2023】
* C. Chen, Y. Yu, X. Sheng, J. Meng, and X. Zhu#, "Real-Time Hand Gesture Recognition by Decoding Motor Unit Discharges Across Multiple Motor Tasks from Surface Electromyography," IEEE Transactions on Biomedical Engineering, vol. 70, no. 7, pp. 2058-2068, 2023.
* C. Chen, Y. Yu, X. Sheng, J. Meng, and X. Zhu#, "Mapping Individual Motor Unit Activity to Continuous Three-DoF Wrist Torques: Perspectives for Myoelectric Control," IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 31, pp. 1807-1815, 2023.
* C. Chen, S. Ma, X. Sheng, and X. Zhu#, "A peel-off convolution kernel compensation method for surface electromyography decomposition," Biomedical Signal Processing and Control, vol. 85, p. 104897, 2023. 

* N. Jiang#, C. Chen, J. He, J. Meng, L. Pan, S. Su, and X. Zhu, "Bio-robotics research for non-invasive myoelectric neural-interfaces for prosthetic control—a ten-year perspective review," National Science Review, vol. 10, no. 5, p. nwad048, 2023.
* M. Xia, C. Chen, Y. Xu, Y. Li, X. Sheng#, and H. Ding, "Extracting Individual Muscle Drive and Activity From High-Density Surface Electromyography Signals Based on the Center of Gravity of Motor Unit," IEEE Transactions on Biomedical Engineering, vol. 70, no. 10, pp. 2852-2862, 2023.


【2022】
* C. Chen, S. Ma, Y. Yu, X. Sheng, and X. Zhu#, "Segment-Wise Decomposition of Surface Electromyography to Identify Discharges Across Motor Neuron Populations," IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 30, pp. 2012-2021, 2022.
* C. Chen, Y. Yu, X. Sheng, and X. Zhu#, "Non-Invasive Analysis of Motor Unit Activation During Simultaneous and Continuous Wrist Movements," IEEE Journal of Biomedical and Health Informatics, vol. 26, no. 5, pp. 2106-2115, 2022.
* F. Qiu, X. Liu, Y. Xu, L. Shi, X. Sheng, and C. Chen#, "Neural inputs from spinal motor neurons to lateralis vastus muscle: Comparison between sprinters and nonathletes," Frontiers in Physiology, vol. 13, 2022.
* Y. Yu, C. Chen, J. Zhao, X. Sheng, and X. Zhu#, "Surface Electromyography Image-Driven Torque Estimation of Multi-DoF Wrist Movements," IEEE Transactions on Industrial Electronics, vol. 69, no. 1, pp. 795-804, 2022.
* S. Ma, C. Chen, J. Zhao, D. Han, X. Sheng, D. Farina, and X. Zhu#, "Analytical Modelling of Surface EMG Signals Generated by Curvilinear Fibers With Approximate Conductivity Tensor," IEEE Transactions on Biomedical Engineering, vol. 69, no. 3, pp. 1052-1062, 2022.

【2021】
* C. Chen, Y. Yu, X. Sheng, D. Farina, and X. Zhu#, "Simultaneous and proportional control of wrist and hand movements by decoding motor unit discharges in real time," Journal of Neural Engineering, vol. 18, no. 5, p. 056010, 2021.
* Y. Yu, C. Chen, X. Sheng#, and X. Zhu, "Wrist Torque Estimation via Electromyographic Motor Unit Decomposition and Image Reconstruction," IEEE Journal of Biomedical and Health Informatics, vol. 25, no. 7, pp. 2557-2566, 2021.

【2020】
* C. Chen, Y. Yu, S. Ma, X. Sheng#, C. Lin, D. Farina, and X. Zhu#, "Hand gesture recognition based on motor unit spike trains decoded from high-density electromyography," Biomedical Signal Processing and Control, vol. 55, p. 101637, 2020.
* C. Chen, S. Ma, X. Sheng#, D. Farina, and X. Zhu#, "Adaptive Real-Time Identification of Motor Unit Discharges From Non-Stationary High-Density Surface Electromyographic Signals," IEEE Transactions on Biomedical Engineering, vol. 67, no. 12, pp. 3501-3509, 2020.
* Y. Yu, C. Chen, X. Sheng#, and X. Zhu, "Multi-DoF continuous estimation for wrist torques using stacked autoencoder," Biomedical Signal Processing and Control, vol. 57, p. 101733, 2020.

【2019】
* C. Chen, G. C. Chai, Guohong, X. Sheng, D. Farina, and X. Zhu#, "Prediction of finger kinematics from discharge timings of motor units: implications for intuitive control of myoelectric prostheses," Journal of Neural Engineering, vol. 16, no. 2, p. 026005, 2019.