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研究助理教授

PolyU Scholars Hub

孙睿博士

助理教授(研究)

BEng (XJTU), MPhil (SYSU), PhD (CUHK)

简历

孙睿博士在西安交通大学获得生物医学工程学士学位,之后在中山大学和香港中文大学分别获得生物医学工程硕士和博士学位。在加入香港理工大学之前,她曾在香港大学神经科学教育实验室担任博士后研究员。

孙博士从事生物力学和神经工程领域的研究,她在脑机接口、康复机械人、生物信号处理(EEG、EMG、ECG)、中风运动康复等研究方向都具有扎实的背景。她之前的研究部分集中于中风运动康复干预方法的创新(例如设计智能训练系统以改善慢性中风患者的运动功能),部分研究则集中于开发新型康复评估方法(例如通过生物信号处理探索新的康复评估生物标记)。此外,孙博士在博士后期间也有把佛法冥想应用于减压的研究经验。

目前,孙博士对可穿戴康复机械人、生物反馈疗法和基于脑机接口的人工神经通路感兴趣。她还有兴趣探索基于脑电图的神经退行性疾病的早期诊断

学历

  • Bachelor of Engineering, Xi’an Jiaotong University
  • Master of Philosophy, Sun Yat-sen University
  • Doctor of Philosophy, The Chinese University of Hong Kong

研究兴趣

  • 可穿戴康复机械人
  • 脑机接口
  • 健康老龄化
  • 生物信号处理

研究成果

    • Privitera, A. J., Sun, R., & Tang, A. C. (2022). A resting-state network for novelty: Similar involvement of a global network under rest and task conditions. Psychiatry Research: Neuroimaging, 323. https://doi.org/10.1016/j.pscychresns.2022.111488
    • Sun, R., Wong, W. W., Wang, J., Wang, X., & Tong, K. Y. (2021). Functional brain networks assessed with surface EEG for predicting motor recovery in a neural guided intervention for chronic stroke. Brain Communications, 3(4). https://doi.org/10.1093/braincomms/fcab214
    • Sun, R., Chan, C., Hsiao, J., Tang, A. C. (2021). Validation of SOBI-DANS method for automatic identification of horizontal and vertical eye movement components from EEG. Psychophysiology, 58(2). https://doi.org/10.1111/psyp.13731
    • Wang, X., Wong, W. W., Sun, R., Chu, W. C. W., & Tong, K. Y. (2018). Differentiated effects of robot hand training with and without neural guidance on neuroplasticity patterns in chronic stroke. Frontiers in Neurology, 9. https://doi.org/10.3389/fneur.2018.00810
    • Sun, R., Wong, W. W., Wang, J., & Tong, K. Y. (2017). Changes in electroencephalography complexity using a brain computer interface-motor observation training in chronic stroke patients: A fuzzy approximate entropy analysis. Frontiers in Human Neuroscience, 11. https://doi.org/10.3389/fnhum.2017.00444
    • Ao, D., Sun, R., Tong, K. Y., & Song, R. (2015). Characterization of stroke- and aging-related changes in the complexity of EMG signals during tracking tasks. Annals of Biomedical Engineering, 43(4), 990-1002. https://doi.org/10.1007/s10439-014-1150-1
    • Sun, R., Song, R., & Tong, K. Y. (2014). Complexity analysis of EMG signals for patients after stroke during robot-aided rehabilitation training using fuzzy approximate entropy. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 22(5), 1013-1019. https://doi.org/10.1109/TNSRE.2013.2290017
    • Song, R., Tong, K. Y.,  Hu, X. L., Li, L., & Sun, R. (2013). Arm-eye coordination test to objectively quantify motor performance and muscles activation in persons after stroke undergoing robot-aided rehabilitation training: A pilot study. Experimental Brain Research, 229(3), 373-382. https://doi.org/10.1007/s00221-013-3418-3
    • Sun, R., Song, R., Tong, K. Y. (2012). Quantitative evaluation of motor function recovery process in chronic stroke patients during myoelectric controlling robot-assisted elbow training. Chinese Journal of Rehabilitation Medicine, 9, 802-807. https://doi.org/10.3969/j.issn.1001-1242.2012.09.004
    • Sun, R., Wong, W. W., Gao, J. L., Wong, G. F., & Tong, K. Y. (2021). Abnormal EEG complexity and alpha oscillation of resting state in chronic stroke patients. The 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, virtual meeting. https://doi.org/10.1109/EMBC46164.2021.9630549
    • Ao, D., Sun, R., & Song, R. (2013). Comparison of complexity of EMG signals between a normal subject and a patient after stroke: A case study. The 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Japan. https://doi.org/10.1109/EMBC.2013.6610662

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