Novel Early Warning System for Hypoglycaemia

Funding: 2005: $80,000
2006: $80,000
2007: $80,000

Project Member(s): Nguyen, H.

Funding or Partner Organisation: Australian Research Council (Other funds for ARC projects)
Australian Research Council (ARC Linkage Projects)
AIMEDICS Pty Ltd
Viaticus Capital Pty Ltd

Start year: 2005

Summary: An innovative technique will be developed for early detection of low blood glucose level (hypoglycaemia), a life-threatening complication affecting millions of people with Type 1 diabetes worldwide. Real-time analysis of the effectiveness of skin impedance, ECG (in particular heart rate and QT interval), and EEG (alpha wave) will be combined with robust adaptive neural networks to provide a novel theoretical and practical basis for developing a non-invasive hypoglycaemia monitor. This device has the potential to save lives, improve quality of life for people with diabetes and their carers, and put Australia at the forefront in this $US5 billion pa industry.

Keywords: Biomedical Engineering, Medical Devices, Hypoglycaemia Monitor, Physiological Parameters, Artificial Intelligence,

FOR Codes: Rehabilitation Engineering, Care for Disabled, Intelligent Robotics, Medical instrumentation, Medical Instruments, Adaptive Agents and Intelligent Robotics, Rehabilitation engineering , People with disability

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.