Dr Yanxin Zhang


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Senior Lecturer

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)

  • Zhang, Y., & Ma, Y. (2019). Application of supervised machine learning algorithms in the classification of sagittal gait patterns of cerebral palsy children with spastic diplegia. Computers in Biology and Medicine, 106, 33-39. 10.1016/j.compbiomed.2019.01.009
  • Ma, Y., Zhang, Y., Shao, M., & Liu, X. (2018). Study of Ankle Rocker Functions for Unilateral Transtibial Amputees During Slope Walking by Using Effective Roll-Over and Moment Arms Analysis. Journal of Medical Imaging and Health Informatics, 8 (2), 387-393. 10.1166/jmihi.2018.2302
    URL: http://hdl.handle.net/2292/40648
  • Sheng, B., Tang, L., Xie, S., Deng, C., & Zhang, Y. (2018). Alterations in muscle activation patterns during robot-assisted bilateral training: A pilot study. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine10.1177/0954411918819115
    Other University of Auckland co-authors: Lihua Tang, Bo Sheng
  • Sheng, B., Zhang, Y., Tang, L., Xie, S., & Deng, C. (2018). A Bilateral Training System for Upper-limb Rehabilitation: A Follow-up Study. Paper presented at IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), Auckland, NEW ZEALAND. 9 July - 12 July 2018. 2018 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS (AIM). (pp. 6).
    Other University of Auckland co-authors: Lihua Tang, Bo Sheng
  • Zhu, X. Y., Kim, H. K., & Zhang, Y. (2017). Development of an Enhanced Musculoskeletal Model for Simulating Lumbar Spine Loading During Manual Lifting Tasks. Paper presented at 8th International Conference on Digital Human Modeling - Applications in Health, Safety, Ergonomics, and Risk Management (DHM) held as part of 19th International Conference on Human-Computer Interaction (HCI International), Vancouver, CANADA. 9 July - 14 July 2017. DIGITAL HUMAN MODELING: APPLICATIONS IN HEALTH, SAFETY, ERGONOMICS, AND RISK MANAGEMENT: ERGONOMICS AND DESIGN. (pp. 9). 10.1007/978-3-319-58463-8_20
    Other University of Auckland co-authors: Hyun Kyung Kim
  • 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
    URL: http://hdl.handle.net/2292/33291
    Other University of Auckland co-authors: Hyun Kyung Kim
  • 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


Contact details

Primary office location

BUILDING 907 - Bldg 907
Level 2, Room 235
New Zealand

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