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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.
Social support of older people with disability in China has not been researched with social policy analysis. We apply a disability rights framework in four domains ? protection, economic security, social support and participation ? to analyse the relat...
Australia has an unmatched reputation as a world leader in neuroprostheses. Most notable of these is the bionic ear for the deaf and, more recently, leading edge research towards a bionic eye for the blind. This proposal will combine the research stren...
Dr Andrew Kan is a Senior Lecturer with the School of Women's & Children's Health and specialises in fertility, IVF and reproductive medicine.
Constructing a computational platform for representation of biological tissue models using existing technologies.