The SNORE-ASA Study: A Study Of Neurocognitive Outcomes, Radiological And Retinal Effects Of Aspirin In Sleep Apnoea
Funder
National Health and Medical Research Council
Funding Amount
$886,692.00
Summary
Sleep apnoea is very common in the elderly, but it is uncertain whether it leads to a decline in mental abilities as it can in the middle-aged. Apart from fatigue, sleep apnoea also causes mental decline by affecting brain blood supply. This may be preventable with aspirin. We will track 3,000 healthy elderly for 4 years, after testing for sleep apnoea. Half will take aspirin. We predict that mental ability will decline faster with sleep apnoea, and that aspirin will partly reverse this.
Optimising Non-invasive Ventilation At Birth For Preterm Infants
Funder
National Health and Medical Research Council
Funding Amount
$735,912.00
Summary
Infants born very premature require respiratory support at birth to make the transition to newborn life. As these infants are very immature and prone to injury, modern respiratory care strategies utilise the least invasive approaches mainly applied using a facemask. However, we have discovered that the larynx is closed at birth and thereby prevents air from entering the lung. This application is focussed on optimising the efficiency of facemask ventilation at birth and stimulating breathing.
Improving The Prediction And Detection Of Contributors To Term Stillbirth
Funder
National Health and Medical Research Council
Funding Amount
$570,358.00
Summary
Stillbirths are a global human tragedy, with 1 in 130 of all pregnancies in Australia ending in stillbirth. We propose to use ultrasound and blood markers to improve the detection of babies who are not growing well, a leading risk factor for stillbirth. Sleep position has also been associated with stillbirth, so we will study fetal heart rate responses during an overnight sleep study to see if breathing events overnight may be an important contributor to stillbirth in growth restricted fetuses.
NeuroSleep: The Centre For Translational Sleep And Circadian Neurobiology
Funder
National Health and Medical Research Council
Funding Amount
$2,659,061.00
Summary
NeuroSleep, the Centre for Translational Sleep and Circadian Neurobiology, will foster innovative clinical research and translation to develop national capacity in understanding how sleep disorders and dysfunction of the body clock impact on health. The Centre will focus its activities on the two-way relationship between disrupted sleep and body clock systems and brain disorders. Our goal is to improve brain performance, workplace safety and health outcomes in patients with sleep and circadian d ....NeuroSleep, the Centre for Translational Sleep and Circadian Neurobiology, will foster innovative clinical research and translation to develop national capacity in understanding how sleep disorders and dysfunction of the body clock impact on health. The Centre will focus its activities on the two-way relationship between disrupted sleep and body clock systems and brain disorders. Our goal is to improve brain performance, workplace safety and health outcomes in patients with sleep and circadian dysfunction and in the general community.Read moreRead less
What Are The Lifetime Clinical Predictors And Risk Factors For Multiple Phenotypes Of Adult Asthma, COPD And Sleep Disordered Breathing? Following Up The TAHS Cohort From 1st To 6th Decade
Funder
National Health and Medical Research Council
Funding Amount
$1,950,689.00
Summary
Breathing gets impaired and impact on the productivity and quality of life when chronic respiratory diseases rise with ageing. Adult chronic respiratory diseases are major causes of illness and death but there are still many gaps in knowledge on how best to prevent and manage these diseases. The proposed program will provide evidence to guide health policy and clinical management of these diseases. These original findings will be of great importance both nationally and internationally.
Robust face detection and recognition for computer-based security surveillance. The research aims at improving the existing and creating new automated face detection and recognition methods by making them invariant, firstly to head pose, orientation, scale and rotation, and then to occlusion, lighting conditions and facial expressions.
A robust face detector will be developed first and then a new face recognition algorithm that continues to learn identity-specific discriminants on-line by co ....Robust face detection and recognition for computer-based security surveillance. The research aims at improving the existing and creating new automated face detection and recognition methods by making them invariant, firstly to head pose, orientation, scale and rotation, and then to occlusion, lighting conditions and facial expressions.
A robust face detector will be developed first and then a new face recognition algorithm that continues to learn identity-specific discriminants on-line by collecting incremental face exemplars. The result of the research will be an algorithm that can improve its performance on-line adapting in a stable learning process each identity model to the correct facial examples.
The research has significant practical implication in visual surveillance increasing the robustness of identification of person identity, state and intent.
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Intruder alert! detecting and classifying events in noisy time series. This project aims to address the mathematical challenges in automated early detection and classification of intrusion events in noisy time series generated from perimeter security systems. The project expects to develop robust methods to detect intrusion events under different operating environments while ignoring nuisance events. The project will boost the global competitiveness of the Australian security industry, and enabl ....Intruder alert! detecting and classifying events in noisy time series. This project aims to address the mathematical challenges in automated early detection and classification of intrusion events in noisy time series generated from perimeter security systems. The project expects to develop robust methods to detect intrusion events under different operating environments while ignoring nuisance events. The project will boost the global competitiveness of the Australian security industry, and enable improved event detection and classification in noisy time series to the benefit of many critical application areas beyond national security.Read moreRead less
Surviving the data deluge: Scalable feature extraction, discrimination and analysis for computer vision tasks using compressed sensed data. Strategically, our pioneering solutions besides being technically and socially significant, open fresh options for sensor-agnostic data analysis. The technical significance lies through the creation of new technologies for the critical national and global security markets, currently overwhelmed by data. The social significance arises from our solutions being ....Surviving the data deluge: Scalable feature extraction, discrimination and analysis for computer vision tasks using compressed sensed data. Strategically, our pioneering solutions besides being technically and socially significant, open fresh options for sensor-agnostic data analysis. The technical significance lies through the creation of new technologies for the critical national and global security markets, currently overwhelmed by data. The social significance arises from our solutions being privacy preserving, providing new avenues for the production of novel, socially acceptable products for aged care monitoring. Our methods spearhead future advancement in diverse disciplines due to the wide applicability of the methods to other sensor networks (Square Kilometre Array) and data types, providing new frameworks for addressing crucial problems of data management. Read moreRead less
Non-Contact In-process Shape Measurement of Windscreens. Optical techniques have been widely used for non-contact measurement of the 3-D shape of diffusely reflecting surfaces. However, there is no evidence for the successful implementation of a real-time shape measurement system for large specular surfaces, despite the many important industrial applications. The aim of this project is to develop optically-based techniques to measure the shape of specular and transparent surfaces in real time in ....Non-Contact In-process Shape Measurement of Windscreens. Optical techniques have been widely used for non-contact measurement of the 3-D shape of diffusely reflecting surfaces. However, there is no evidence for the successful implementation of a real-time shape measurement system for large specular surfaces, despite the many important industrial applications. The aim of this project is to develop optically-based techniques to measure the shape of specular and transparent surfaces in real time in an industrial environment. The main outcome of the research will be a prototype on-line shape measurement system to control the quality of car windscreens.Read moreRead less
Privacy-preserving cloud data mining-as-a-service. This project aims to explore practical privacy-preserving solutions for cloud data mining-as-a-service based on the Intel Software Guard Extensions (SGX) technology. The research addresses privacy concerns of users when outsourcing data mining needs to the cloud. These concerns have increased as more businesses evaluate data mining-as-an outsourced service due to lack of expertise or computation resources. The expected outcomes from the research ....Privacy-preserving cloud data mining-as-a-service. This project aims to explore practical privacy-preserving solutions for cloud data mining-as-a-service based on the Intel Software Guard Extensions (SGX) technology. The research addresses privacy concerns of users when outsourcing data mining needs to the cloud. These concerns have increased as more businesses evaluate data mining-as-an outsourced service due to lack of expertise or computation resources. The expected outcomes from the research will include new data privacy models, new privacy-preserving data mining algorithms, and a prototype of cloud data mining software. These will help businesses cut costs for data mining and privacy protection, and provide significant benefits toward helping Australia achieve its national cyber security strategy and potentially provide economic impact from commercialisation of new software technology for the industry partner.Read moreRead less