Xinliang Guo
- xinliangg@student.unimelb.edu.au
- Level 1, Melbourne Connect
Thesis Title
Clinically practical technology-assisted measures of upper limb spasticity
Research overview
Xinliang’s current research topic is investigating clinically practical technology-assisted measures of upper limb spasticity. He works with clinicians at the Royal Melbourne Hospital to validate a robotic measure of spasticity as an alternative to current clinical scales. He also has experience in muscle fatigue detection using the surface electromyography (sEMG) technique. His research interests include neurorehabilitation technologies, human-robot interaction, and neuromuscular signal processing.
Supervisors
Qualifications
M.Eng. Electrical and Electronic Engineering, The University of Melbourne, Australia (2020)
B.Eng. Electrical Engineering, Central South University, China (2017)