Dr Peng Guo

PhD Canterbury in Bioengineering

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Research Fellow

Biography

Peng finished his PhD at the University of Canterbury, focused on quantifying nurse workload in ICU by developing a novel tracking system, and study the correlation between nurse workload and patient acuity level, to optimized allocate nurse resource to the right patient. Thesis Title: Analysing Nursing Workload in Intensive Care Unit by Using a Novel Objective Tracking System. Previously he worked as a mechatronic engineer in product design field for 2 years in China.

Now he is working in Auckland Bioengineering Institute (Auckland University) as a Research Fellow, focusing on developing a novel eye tracking system to precisely identify optokinetic nystagmus (involuntary eye movement) for adults and children, to identify eye disease and cure them. 

He will keep on working in bio-engineering field, using research and engineering skills to develop novel practical product that can help patients and ease their pain.

Research | Current

His work focus on developing a novel eye tracking system to accurately detect optokinetic nystagmus (OKN) for adults and children, to help test visual acuity and identify eye disease. In addition, he focuses on develop tracking systems into a readily portable mobile device (Tablet and smart phone), that will help improve public health.

Responsibilities

Research

·         Lead the development and validation of eye tracking system (algorithms and hardware) for identifying and processing of eye movement (the optokinetic reflex).

Teaching / Supervision

·         Supervise the research activities of graduate students (BME, ME & PhD students)

Areas of expertise

 

  • Image processing using Matlab, C/C++ and OpenCV
  • Signal processing of the resulting data, including shape recognition and tracking
  • Working in a clinical environment
  • Communicating with nursing and medical staff
  • SolidWorks, AutoCAD
  • Mechanical product design

 

Selected publications and creative works (Research Outputs)

  • Guo, P., Sangi, M., Chang, L., Thompson, B., & Turuwhenua, J. (2017). A 2D feature space representation of the optokinetic velocity signal. Biomedical Engineering and Sciences (IECBES), 2016 IEEE EMBS Conference on, 577-582. Kuala Lumpur, Malaysia: IEEE. 10.1109/IECBES.2016.7843515
    Other University of Auckland co-authors: Mehrdad Sangi, Benjamin Thompson, Jason Turuwhenua
  • Guo, P., Chiew, Y. S., Shaw, G. M., Shao, L., Green, R., Clark, A., & Chase, J. G. (2016). Clinical Activity Monitoring System (CATS): An automatic system to quantify bedside clinical activities in the intensive care unit. Intensive and Critical Care Nursing, 37, 52-61. 10.1016/j.iccn.2016.05.003
    URL: http://hdl.handle.net/2292/33938
  • Guo, P., Chiew, Y. S., Shaw, G., & Chase, G. (2015). Validation of clinical activity tracking system in Intensive Care Unit to assess nurse workload distribution. Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE, 458-461. Milan, Italy. 10.1109/EMBC.2015.7318398
  • Liu, H. L., Guo, P., Dong, G. L., Liu, J., & Mu, Y. (2014). Research on the Vibration Characteristics of the Explosion Vessel Using Wigner-Ville Distribution. Applied Mechanics and Materials, 575, 545-548. 10.4028/www.scientific.net/AMM.575.545
  • Shao, L., Mu, Y., Liu, J., Dong, G., Liu, H., & Guo, P. (2014). The trunk of the image recognition based on BP neural network. Paper presented at 2014 IEEE International Conference on Mechatronics and Automation (ICMA), Tianjin, China. 3 August - 6 August 2014. 2014 IEEE International Conference on Mechatronics and Automation. 10.1109/ICMA.2014.6885974
  • Guo, P., Chiew, Y. S., Shao, L., Clark, A., & Chase, G. (2014). A novel visualization system for ICU clinical activity tracking. IFAC Proceedings Volumes (IFAC-PapersOnline), 47 (3), 3581-3586. Cape Town, South Africa. 10.3182/20140824-6-ZA-1003.00342
    URL: http://hdl.handle.net/2292/34887
  • Guo, P., Chiew, Y. S., Shaw, G., & Chase, G. (2014). Novel visualisation approach for Intensive Care Unit Clinical Activity monitoring. 2014 IEEE 9th Conference on Industrial Electronics and Applications (ICIEA), 83-88. Hangzhou, China. 10.1109/ICIEA.2014.6931136