Novel Early Warning System for Hypoglycaemia

将开发一种用于早期检测低血糖水平（低血糖）的创新技术，低血糖是一种危及生命的并发症，影响着全球数百万1型糖尿病患者。皮肤阻抗、ECG（特别是心率和QT间期）和EEG（α波）的有效性的实时分析将与鲁棒的自适应神经网络相结合，为开发无创低血糖监测器提供新的理论和实践基础。该设备有可能挽救生命，提高糖尿病患者及其护理人员的生活质量，并使澳大利亚在这个价值50亿美元的pa行业中处于领先地位。

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.