In vivo assessment of upper limb movements, physiology and rehabilitation
This program will create a functional movement database that encompasses objective multilevel measures of joint and segmental motion (kinematics and kinetics) and muscular activation. This will provide an essential multidimensional reference for design of implants, the evolution of new surgical procedures, the shaping of post-surgical rehabilitation, and evaluation of treatment success. This program will improve the understanding around biomechanical and physiological basis of upper limb movement to allow for biomechanically consistent and individualised rehabilitation exercises.
Maria is a research fellow in the School of Mechanical, Medical and Process Engineering and a research engineer in the School of Electrical Engineering and Robotics, at the Queensland University of Technology. Her research is focused on advanced tissue recognition methods, such as deep learning techniques, for the automatic interpretation of medical imaging.
Maria is currently also a QUT PhD candidate in the Medical Robotics Group at the QUT, focusing on automatic image analysis to provide surgical guidance to autonomous robots in the framework of minimally invasive surgery. Prior to her PhD candidature, she received her BEng. in Engineering Sciences from the University of Rome Tor Vergata (Italy) in 2014 and MEng. in Biomechanical Engineering from the Technical University of Delft (The Netherlands) in 2016.
Professor Kirsten Heimann
Connect, Educate & train (CET)
Intellectual Property and Commercialisation
The MB-CRC’s prime objective is to provide a cooperative platform to accelerate the translation of marine bioproduct discoveries and create an energetic and expansive bio-economy industry in Australia, through adoption of the MB-CRC’s IP, processes and candidate products.