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Broad Research Areas:
Medical Education, Primary Health Care
Society Memberships & Professional Activities:
RACGP, RACGP Faculty of Special Interests Custodial Health
The overall goal of this project is to advance the fundamental understanding of impurity reactions in high temperature steelmaking, and to open novel avenues for atomic level process control and scientific discoveries in the field.
This project aims to develop signal processing algorithms to extract features from inertial signals which correlate with current clinical measures of fall risk. The signals are acquired during normal unsupervised movement using a small waist-worn monitor.