Research Assistant Professor
- ST520
- +852 2766 6752
- rui-eliza.sun@polyu.edu.hk
- Biomechanics and Neural Engineering
ORCID ID
SCOPUS ID
Google Scholar
Research GateBiography
Dr Rui Sun (Eliza) received her bachelor’s degree in biomedical engineering at Xi’an Jiaotong University, and her MPhil and PhD degrees in biomedical engineering at Sun Yat-sen University and The Chinese University of Hong Kong respectively. Prior to joining The Hong Kong Polytechnic University, she worked as a postdoctoral fellow at the Laboratory of Neuroscience for Education of The University of Hong Kong.
Dr Sun has research experience in biomechanics and neural engineering, with a solid background in the research direction of brain computer interface (BCI), rehabilitation robotics, bio-signal processing (EEG, EMG, ECG), and motor rehabilitation in stroke. Her previous research partly focused on the innovation of intervention methods for chronic stroke patients (e.g. designing smart training systems to improve the motor function of chronic stroke patients), and partly on the development of evaluation methods (e.g. exploring new evaluation biomarkers through bio-signal processing). Besides, Dr Sun also had research experience in Buddhism-derived meditation for stress reduction during her postdoc period.
Currently, Dr Sun is interested in wearable rehabilitation robots, biofeedback therapy, and BCI-based artificial neural pathway. She is also interested in the EEG-based diagnosis of neurodegenerative diseases in the early stage.
Education and Academic Qualifications
- Bachelor of Engineering, Xi’an Jiaotong University
- Master of Philosophy, Sun Yat-sen University
- Doctor of Philosophy, The Chinese University of Hong Kong
Research Interests
Research Output
- 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
