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Field of Research : Pattern Recognition
Field of Research : Biomedical Engineering
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  • Funded Activity

    Discovery Projects - Grant ID: DP0666942

    Funder
    Australian Research Council
    Funding Amount
    $245,000.00
    Summary
    Innovative hands-free technology to give the severely disabled greater mobility control. Half of the serious neurological injuries in Australia result in tetraplegia. Combined with other disabilities that involve severe mobility impairments the cost to the community economically, psychologically and socially is huge. This new Australian technology will facilitate effective sharing of control between a disabled person and a computer control system, taking advantage of their unique strengths and e .... Innovative hands-free technology to give the severely disabled greater mobility control. Half of the serious neurological injuries in Australia result in tetraplegia. Combined with other disabilities that involve severe mobility impairments the cost to the community economically, psychologically and socially is huge. This new Australian technology will facilitate effective sharing of control between a disabled person and a computer control system, taking advantage of their unique strengths and enabling each to aid the other in areas of weakness. The social and personal benefits are potentially very large. Scope also exists to significantly reduce healthcare costs and to develop a new industry in hands-free technology.
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    Funded Activity

    Linkage Projects - Grant ID: LP0776730

    Funder
    Australian Research Council
    Funding Amount
    $127,200.00
    Summary
    Building a Smart Diagnostic System for Low Back Ailments. This research will develop an early back ailment diagnostic system that will reduce the recurrence of low back pain, and hence reduce the cost to the health system. This is significant to the community from prevention of pain, to the health care system that spends billions of dollars combating this modern day ailment and towards the industry where the low back pain is the single largest reason for sick leave in Australia. It will also giv .... Building a Smart Diagnostic System for Low Back Ailments. This research will develop an early back ailment diagnostic system that will reduce the recurrence of low back pain, and hence reduce the cost to the health system. This is significant to the community from prevention of pain, to the health care system that spends billions of dollars combating this modern day ailment and towards the industry where the low back pain is the single largest reason for sick leave in Australia. It will also give rise to employment of skilled technical people and an opportunity to increase high-value exports from Australia.
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    Funded Activity

    Linkage Projects - Grant ID: LP0454378

    Funder
    Australian Research Council
    Funding Amount
    $455,198.00
    Summary
    New techniques for modelling, diagnosis and counter measures for cardiac related sleep disordered breathing. Around 50% of congestive heart failure sufferers have some form of sleep disordered breathing. However, little has been done so far to simultaneously monitor, analyse and treat the two conditions. Therefore, this project proposes to develop new technology incorporating mathematical models for heart rate variability, considering the links between sleep disordered breathing and cardiovasc .... New techniques for modelling, diagnosis and counter measures for cardiac related sleep disordered breathing. Around 50% of congestive heart failure sufferers have some form of sleep disordered breathing. However, little has been done so far to simultaneously monitor, analyse and treat the two conditions. Therefore, this project proposes to develop new technology incorporating mathematical models for heart rate variability, considering the links between sleep disordered breathing and cardiovascular disease. This innovation will enable, for the first time, a device capable of accurate and reliable diagnosis of various sleep disorders using only conventional ECG data. Such technology has the potential to produce significant community health benefits, and save several millions of lives worldwide.
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    Funded Activity

    Discovery Projects - Grant ID: DP0560063

    Funder
    Australian Research Council
    Funding Amount
    $205,000.00
    Summary
    Automated texture selection and classification methods for detection of osteoarthritis in knee radiographs. In Australia there are 1-2 million OA sufferers, a condition that costs approximately $9 billion annually. This project will address an important problem of early detection and monitoring of OA and this remains in line with the National Research Priority 2. Potential outcomes of the project will result in better diagnosis and treatment of OA, reduced discomfort to the individual and saving .... Automated texture selection and classification methods for detection of osteoarthritis in knee radiographs. In Australia there are 1-2 million OA sufferers, a condition that costs approximately $9 billion annually. This project will address an important problem of early detection and monitoring of OA and this remains in line with the National Research Priority 2. Potential outcomes of the project will result in better diagnosis and treatment of OA, reduced discomfort to the individual and saving to the national economy. This project will improve existing activity and rehabilitation programs such as exercise of lower limbs and it will help in developing diets for healthy people and OA sufferers.
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    Showing 1-4 of 4 Funded Activites

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