Yuchen Xu
Postdoctoral Fellow

  • 2022 Ph.D. Zhejiang University


  • 2016 B.S. China University of Geosciences



Yuchen Xu got her bachelor’s degree in the Department of Electrical Information Engineering of China University of Geosciences (Wuhan, China) in 2016. In 2022, she obtained her PhD degree in the Department of Biomedical Engineering of Zhejiang University (Hangzhou, China). In her thesis, she focused on improving rehabilitation efficiency in physical training and proposed a fatigue-controlled training strategy for motor function recovery in a rat stroke model. Dr. Xu is currently a Postdoctoral Researcher at CenBRAIN Neurotech Center of Excellence.

Research Interests and Project 

Dr. Xu’s research interests focus on the applications of neural modulation in post-stroke motor function rehabilitation. The modulations are mainly triggered by individualized electrophysiological biomarkers and delivered through electrical stimulation or ultrasound stimulation. Another area of research interest is the modulation of brain organoids in vivo, with the goal of facilitating the structural and functional fusion of brain organoids and host animals. Currently, she is designing, implementing and evaluating the corticomuscular coherence-based neural modulation in a rat stroke model.

Representative Publications

[1] Y. Xu, W. S. Poon, Y. Zheng, S. Zhang, and X. Hu, "Evaluation of Central Fatigue in Post-stroke Rehabilitation: A Pilot Study," in 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021, pp. 6687-6690.

[2] Y. Xu, Y. Yao, H. Lyu, S. Ng, Y. Xu, W. S. Poon, Y. Zheng, S. Zhang, and X. Hu, "Rehabilitation effects of fatigue-controlled treadmill training after stroke: a rat model study," Frontiers in Bioengineering and Biotechnology, vol. 8, 2020, p. 590013.

[3] Y. Xu, K. Xu, L. Hao, N. G. Stephanie, W. S. Poon, S. Zhang, X. Hu, and Y. Zheng, "The effects of EMG based fatigue-controlled and forced exercise on motor function recovery: A pilot study," in 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019, pp. 25-28.

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