周宇轩

发布者:工信院发布时间:2024-05-06浏览次数:2748


 

 姓名:周宇轩

 研究方向:神经康复工程、人机接口技术、高教AI赋能

 邮箱yxzhou@njmu.edu.cn




个人简介:

工学博士,副教授,主要研究方向为神经康复工程、AI赋能高等教育。在Journal of Neuroengineering and Rehabilitation, IEEE TNSRE, Journal of Neural Engineering, Advanced Science 等国际知名期刊发表论文40余篇。主讲生物医学模拟电子技术、数字信号处理等生物医学工程核心课程。参编国家级规划教材、101计划核心教材、行业规划教材。 主持研发AI+生物医学电子学智慧实验教学平台LabMatrix。获日内瓦国际发明奖金奖、南京医科大学赵息保青年教师奖教金等荣誉,作为指导教师获创青春、全国大学生集成电路创新创业大赛、全国大学生电子设计竞赛等奖项十余项。




奖项及荣誉: 

南京医科大学赵息保青年教师奖教金,2022

第八届全国大学生集成电路创新创业大赛全国一等奖,优秀指导教师,2024.08

第七届全国大学生集成电路创新创业大赛全国一等奖,优秀指导教师,2023.08

创青春江苏省大学生创业大赛,优秀指导教师,2018.07

微电子神经肌电桥,日内瓦国际发明展览会组委会,第43届日内瓦国际发明展(M)组特别金奖,国际学术奖,2015.04.17 



学术兼职:

江苏省康复医学会远程康复专委会委员

江苏省康复医学会呼吸康复专委会青年委员



承担课题:(省部级以上)

国家自然科学基金青年基金项目,81701806,上肢可穿戴式同源自主肌电控制功能性电刺激康复系统关键技术研究,2018/01-2020/1220,主持

教育部产学研协同育人项目,基于迪芝伦ADS的生物医学模拟电子技术课程改革实践,2021/05-2023/05,主持



代表性论文

Zhao, K*., Feng, Y., Jin, Y., Hu, Y., Li, Jie, Li, Jianqing, Zhou, Y. *, 2026. Baseline EMG alters muscle synergy activations while preserving spatial structure in healthy and post-stroke subjects. J NeuroEngineering Rehabil 23, 64. https://doi.org/10.1186/s12984-026-01879-x 1top

K. Zhao, Y. Feng, L. Li, Y. Zhou, Z*. Zhang, and J. Li*, “Muscle synergies and muscle networks in multiple frequency components in post-stroke patients,” Biomedical Signal Processing and Control, vol. 95, p. 106417, Sep. 2024, doi: 10.1016/j.bspc.2024.106417. 2top

Xu, Tianxiang, Kunkun Zhao, Yuxiang Hu, Liang Li, Wei Wang, Fulin Wang, Yuxuan Zhou*, and Jianqing Li*. “Transferable Non-Invasive Modal Fusion-Transformer (NIMFT) for End-to-End Hand Gesture Recognition.” Journal of Neural Engineering 21, no. 2 (April 1, 2024): 026034. https://doi.org/10.1088/1741-2552/ad39a5. 2top

Wang, Hai Peng#Yu Xuan Zhou#, He Li, Guo Dong Liu, Si Meng Yin, Peng Ju Li, Shu Yue Dong, et al. “Noncontact Electromagnetic Wireless Recognition for Prosthesis Based on Intelligent Metasurface.” Advanced Science, May 7, 2022, 2105056. https://doi.org/10.1002/advs.202105056. 1top

Zhou, Yuxuan, Zhengyang Bi, Minjie Ji, Shisheng Chen, Wei Wang, Keping Wang, Benhui Hu, Xiaoying Lu, and Zhigong Wang. “A Data-Driven Volitional EMG Extraction Algorithm During Functional Electrical Stimulation With Time Variant Parameters.” IEEE Transactions on Neural Systems and Rehabilitation Engineering 28, no. 5 (May 2020): 1069–80. https://doi.org/10.1109/TNSRE.2020.2980294. 2top

Zhou, Y, Y Xia, J Huang, H Wang, X Bao, Z Bi, X Chen, Y Gao, X Lü, and Z Wang. “Electromyographic Bridge for Promoting the Recovery of Hand Movements in Subacute Stroke Patients: A Randomized Controlled Trial.” Journal of Rehabilitation Medicine 49, no. 8 (2017): 629–36. https://doi.org/10.2340/16501977-2256.

Zhou, Yu-Xuan, Hai-Peng Wang, Xue-Liang Bao, Xiao-Ying Lü, and Zhi-Gong Wang. “A Frequency and Pulse-Width Co-Modulation Strategy for Transcutaneous Neuromuscular Electrical Stimulation Based on sEMG Time-Domain Features.” Journal of Neural Engineering 13, no. 1 (February 1, 2016): 016004. https://doi.org/10.1088/1741-2560/13/1/016004. 2top