研究助理教授
- ST520
- 2766 6752
- rui-eliza.sun@polyu.edu.hk
- 生物力學和神經工程
ORCID ID
SCOPUS ID
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Research Gate簡歷
孫睿博士在西安交通大學獲得生物醫學工程學士學位，之後在中山大學和香港中文大學分別獲得生物醫學工程碩士和博士學位。在加入香港理工大學之前，她曾在香港大學神經科學教育實驗室擔任博士後研究員。
孫博士從事生物力學和神經工程領域的研究，她在腦機接口、康復機械人、生物信號處理（EEG、EMG、ECG）、中風運動康復等研究方向都具有紮實的背景。她之前的研究部分集中於中風運動康復干預方法的創新（例如設計智能訓練系統以改善慢性中風患者的運動功能），部分研究則集中於開發新型康復評估方法（例如通過生物信號處理探索新的康復評估生物標記）。此外，孫博士在博士後期間也有把佛法冥想應用於減壓的研究經驗。
目前，孫博士對可穿戴康復機械人、生物反饋療法和基於腦機接口的人工神經通路感興趣。她還有興趣探索基於腦電圖的神經退行性疾病的早期診斷。
學歷
- Bachelor of Engineering, Xi’an Jiaotong University
- Master of Philosophy, Sun Yat-sen University
- Doctor of Philosophy, The Chinese University of Hong Kong
研究興趣
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
