Dr Yanxin Zhang
Yanxin Zhang received his B.S. degree from School of Electronics & Information at Shanghai Jiao Tong University in 2000 and Ph.D. degree in industrial engineering from Texas Tech University in 2005. He worked as a Post-Doctoral Research Associate in the Department of Kinesiology of the Arizona State University from 2005 to 2006. From 2006 to 2008, he worked as a research associate in the School of Human Movement and Exercise Science of the University of Western Australia. He is currently a senior lecturer from the department of Exercise Sciences of the University of Auckland.
Research | Current
Yanxin Zhang's research is concentrated on the development of biomechanical methods to simulate, evaluate and optimize human motions.
The two major interests are:
- To apply motion capture techniques to study human movements and use simulation and optimization methods to find movement patterns which can enhance activity performance and reduce injury occurrence.
- To develop neuron-muscular-skeletal models to investigate muscle coordination during multi-joint limb movements and the underlying neural control mechanisms, which could have potential to create the theoretical basis of developing effective approach for rehabilitation and functional restoration after neuromuscular injury.
He is also interested in developing and applying quantitative methods, especially methods based on modern control theory and fuzzy logic, to study human motor learning and decision making process in sports activities and human-machine interaction.
Teaching | Current
EXERSCI 203 Biomechanics 1
EXERSCI 303 Biomechanics 2
Yunru Ma (PhD)
Zhongxue Yuan (PhD)
Areas of expertise
biomechanics, rehabilitation engineering, discrete-event system simulation
Selected publications and creative works (Research Outputs)
- Sheng, B., Wang, X., Hou, M., Huang, J., Xiong, S., & Zhang, Y. (2020). An automated system for motor function assessment in stroke patients using motion sensing technology: A pilot study. MEASUREMENT, 16110.1016/j.measurement.2020.107896
- Huang, C., Kim, W., Zhang, Y., & Xiong, S. (2020). Development and Validation of a Wearable Inertial Sensors-Based Automated System for Assessing Work-Related Musculoskeletal Disorders in the Workspace. International journal of environmental research and public health, 17 (17).10.3390/ijerph17176050
- Sheng, B., Moosman, O. M., Del Pozo-Cruz, B., Del Pozo-Cruz, J., Alfonso-Rosa, R. M., & Zhang, Y. (2020). A comparison of different machine learning algorithms, types and placements of activity monitors for physical activity classification. MEASUREMENT, 15410.1016/j.measurement.2020.107480
- Lin, J., Hu, G., Ran, J., Chen, L., Zhang, X., & Zhang, Y. (2020). Effects of bodyweight support and guidance force on muscle activation during Locomat walking in people with stroke: a cross-sectional study. Journal of neuroengineering and rehabilitation, 17 (1)10.1186/s12984-020-0641-6
- Wang, X., Hou, M., Chen, S., Yu, J., Qi, D., Zhang, Y., ... Li, Z. (2020). Effects of tai chi on postural control during dual-task stair negotiation in knee osteoarthritis: a randomised controlled trial protocol. BMJ open, 10 (1)10.1136/bmjopen-2019-033230
- Hou, M., Wang, X., Yu, J., Fu, S., Yang, F., Li, Z., ... Tao, J. (2020). The Effect of Electroacupuncture on Dynamic Balance during Stair Climbing for Elderly Patients with Knee Osteoarthritis. Evidence-based complementary and alternative medicine : eCAM, 202010.1155/2020/3563584
- Ma, Y., Yu, Y., Jiang, S., Wilson, N., Mithraratne, K., & Zhang, Y. (2019). Effect of different musculoskeletal model scaling methods on muscle force prediction for patients with cerebral palsy and equinus gait. ICIIBMS 2019 - 4th International Conference on Intelligent Informatics and Biomedical Sciences. 10.1109/ICIIBMS46890.2019.8991443
Other University of Auckland co-authors: Kumar Mithraratne
- Sheng, B., Wang, X., Xiong, S., Hou, M., & Zhang, Y. (2019). Kinematic Metrics for Upper-limb Functional Assessment of Stroke Patients. ICIIBMS 2019 - 4th International Conference on Intelligent Informatics and Biomedical Sciences. 10.1109/ICIIBMS46890.2019.8991507