Dr Yanxin Zhang
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 sports activities 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.
Selected publications and creative works (Research Outputs)
- Kim, H.-K., & Zhang, Y. (2017). Estimation of lumbar spinal loading and trunk muscle forces during asymmetric lifting tasks: application of whole-body musculoskeletal modelling in OpenSim. Ergonomics, 60 (4), 563-576. 10.1080/00140139.2016.1191679
Other University of Auckland co-authors: Hyun Kyung Kim
- Ma, Y., Xie, S., & Zhang, Y. (2016). A patient-specific muscle force estimation model for the potential use of human-inspired swing-assist rehabilitation robots. Advanced Robotics, 30 (14), 948-964. 10.1080/01691864.2016.1175382
- Sheng, B., Zhang, Y., Meng, W., Deng, C., & Xie, S. (2016). Bilateral robots for upper-limb stroke rehabilitation: State of the art and future prospects. Medical engineering & physics, 38 (7), 587-606. 10.1016/j.medengphy.2016.04.004
Other University of Auckland co-authors: Bo Sheng
- Zhang, M., Davies, T. C., Zhang, Y., & Xie, S. Q. (2016). A real-time computational model for estimating kinematics of ankle ligaments. Computer Methods in Biomechanics and Biomedical Engineering, 19 (8), 835-844. 10.1080/10255842.2015.1064113
- Zhang, Y., Ma, Y., & Liu, G. (2016). Lumbar spinal loading during bowling in cricket: a kinetic analysis using a musculoskeletal modelling approach. Journal of Sports Sciences, 34 (11), 1030-1035. 10.1080/02640414.2015.1086014
- Zhang, M., Meng, W., Davies, T. C., Zhang, Y., & Xie, S. Q. (2016). A Robot-Driven Computational Model for Estimating Passive Ankle Torque With Subject-Specific Adaptation. IEEE transactions on bio-medical engineering, 63 (4), 814-821. 10.1109/tbme.2015.2475161
- Ma, Y., Xie, S., & Zhang, Y. (2016). A patient-specific EMG-driven neuromuscular model for the potential use of human-inspired gait rehabilitation robots. Computers in biology and medicine, 70, 88-98. 10.1016/j.compbiomed.2016.01.001
- Zhang, Y., Ma, Y., & Liu, G. (2016). Lumbar spinal loading during bowling in cricket: a kinetic analysis using a musculoskeletal modelling approach. Journal of sports sciences, 34 (11), 1030-1035. 10.1080/02640414.2015.1086014