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Research Topic : pattern recognition
Socio-Economic Objective : Diagnostic methods
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Biomedical Engineering Not Elsewhere Classified (4)
Pattern Recognition (4)
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  • Researchers (15)
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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

    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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    Funded Activity

    Linkage Projects - Grant ID: LP0562715

    Funder
    Australian Research Council
    Funding Amount
    $285,000.00
    Summary
    X-ray Micro-tomography Validation of HRCT-Based Airway Measurements. This project brings together a newly emergent modality of microscopy in the form of 3D X-ray micro-tomography (XRMT) along with leading-edge image analysis to develop breakthrough science in respiratory research aimed at improving the reliability of high resolution computed tomography (HRCT). The project will develop novel 3D lung image segmentation protocols, a stereotactic registration program allowing 3D matching of XRCT and .... X-ray Micro-tomography Validation of HRCT-Based Airway Measurements. This project brings together a newly emergent modality of microscopy in the form of 3D X-ray micro-tomography (XRMT) along with leading-edge image analysis to develop breakthrough science in respiratory research aimed at improving the reliability of high resolution computed tomography (HRCT). The project will develop novel 3D lung image segmentation protocols, a stereotactic registration program allowing 3D matching of XRCT and HRCT data sets, and a validation protocol for quantitative HRCT analysis of airway disease. These outcomes will allow wider application of HRCT to non-invasively follow the dynamics of pulmonary function.
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    Funded Activity

    Discovery Projects - Grant ID: DP0773584

    Funder
    Australian Research Council
    Funding Amount
    $210,000.00
    Summary
    Automatic detection of the circle of Willis in neuro-images using multi-scale gradient calculation and knowledge-based genetic algorithms. Stroke is the third most common cause of death and a major contributor to long term disability in Australia. The most efficient way of preventing stroke from happening is to detect related symptoms early. The group of cerebral blood vessels that closely related to strokes is the circle of Willis (CoW). We build a system that can automatically detect and quan .... Automatic detection of the circle of Willis in neuro-images using multi-scale gradient calculation and knowledge-based genetic algorithms. Stroke is the third most common cause of death and a major contributor to long term disability in Australia. The most efficient way of preventing stroke from happening is to detect related symptoms early. The group of cerebral blood vessels that closely related to strokes is the circle of Willis (CoW). We build a system that can automatically detect and quantify CoW in neuroimages, providing ways of preventing strokes from happening. The project will enhance Australia¡¯s leading position in promoting and maintaining good health, especially in preventive healthcare.
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    Funded Activity

    Linkage Projects - Grant ID: LP0990169

    Funder
    Australian Research Council
    Funding Amount
    $220,000.00
    Summary
    Tooth-mic Devices for Monitoring the Efficacy of Home-based Continuous Positive Airway Pressure (CPAP) Technology. Over 800,000 Australians suffer from Obstructive Sleep Apnea (OSA). OSA patients use twice the health resources compared to healthy people. They are 7 times more likely to cause traffic accidents; in NSW up to 43000 accidents/year are due to OSA. OSA is treatable & consequences such as strokes, diabetes & heart attacks are preventable. The standard OSA treatment is home-based Contin .... Tooth-mic Devices for Monitoring the Efficacy of Home-based Continuous Positive Airway Pressure (CPAP) Technology. Over 800,000 Australians suffer from Obstructive Sleep Apnea (OSA). OSA patients use twice the health resources compared to healthy people. They are 7 times more likely to cause traffic accidents; in NSW up to 43000 accidents/year are due to OSA. OSA is treatable & consequences such as strokes, diabetes & heart attacks are preventable. The standard OSA treatment is home-based Continuous Positive Airway Pressure Therapy. Unfortunately, no effective technique exists to measure the efficacy of the treatment. We propose enabling solutions to this problem via developing technology centered on breathing sound analysis. The project proposes joint work with a US-company facilitating access to advanced technology highly beneficial to Australia.
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    Funded Activity

    Discovery Projects - Grant ID: DP0773687

    Funder
    Australian Research Council
    Funding Amount
    $131,000.00
    Summary
    Non-contact Instrumentation for the Home Monitoring of Upper Airway Obstructions in Sleep. Over 800,000 Australians suffer from obstructive sleep apnoea costing billions of dollars annually to the nation. Obstructive sleep apnoea patients use twice the health resources compared to a normal person, and 7 times more likely to cause traffic accidents. In NSW alone up to 43000 accidents per year are due to obstructive sleep apnoea. Obstructive sleep apnoea is treatable and thus consequences such as .... Non-contact Instrumentation for the Home Monitoring of Upper Airway Obstructions in Sleep. Over 800,000 Australians suffer from obstructive sleep apnoea costing billions of dollars annually to the nation. Obstructive sleep apnoea patients use twice the health resources compared to a normal person, and 7 times more likely to cause traffic accidents. In NSW alone up to 43000 accidents per year are due to obstructive sleep apnoea. Obstructive sleep apnoea is treatable and thus consequences such as stroke and heart attacks are preventable. At present over 90% patients remain undiagnosed. Current diagnosis is expensive and requires hospitalization; no acceptable mass screening device exists. This project proposes an enabling technology for the population screening of obstructive sleep apnoea based on analysing snoring sounds. Outcomes of the project have the potential to revolutionize the diagnosis of obstructive sleep apnoea.
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    Showing 1-6 of 6 Funded Activites

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