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Research Topic : Food processing
Australian State/Territory : VIC
Socio-Economic Objective : Diagnostic methods
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  • Researchers (20)
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  • Funded Activity

    Discovery Projects - Grant ID: DP1094498

    Funder
    Australian Research Council
    Funding Amount
    $150,000.00
    Summary
    Detection and Quantification of General Fetal Movements from Accelerometer Measurements using Nonstationary Signal Processing Techniques. There are approximately 1,750 fetal deaths per year in Australian with about one-third occurring late in gestation and without an apparent cause. The development of an automated system capable of long-term monitoring of fetal health will result in accurate diagnoses and prediction of future outcome. This will, in turn, allow early intervention by the clinicia .... Detection and Quantification of General Fetal Movements from Accelerometer Measurements using Nonstationary Signal Processing Techniques. There are approximately 1,750 fetal deaths per year in Australian with about one-third occurring late in gestation and without an apparent cause. The development of an automated system capable of long-term monitoring of fetal health will result in accurate diagnoses and prediction of future outcome. This will, in turn, allow early intervention by the clinician to reduce fetal deaths and enhance the chances of good outcomes with resultant savings in social and financial costs to the community. The development of such equipment would spawn future research into intervention treatments and contribute to Australia's position as a world leader in computerised health monitoring systems.
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    Funded Activity

    Research Networks - Grant ID: RN0459979

    Funder
    Australian Research Council
    Funding Amount
    $2,250,000.00
    Summary
    ARC Research Network on Intelligent Sensors, Sensor Networks and Information Processing. Sensor networks, a collection of diverse sensors interconnected via an ad-hoc communication network, are identified as one of the key technologies that over the next two decades will change the way we live. This research network brings together an interdisciplinary team of outstanding Australian researchers representing all the key disciplines required to successfully deploy sensor networks and links this te .... ARC Research Network on Intelligent Sensors, Sensor Networks and Information Processing. Sensor networks, a collection of diverse sensors interconnected via an ad-hoc communication network, are identified as one of the key technologies that over the next two decades will change the way we live. This research network brings together an interdisciplinary team of outstanding Australian researchers representing all the key disciplines required to successfully deploy sensor networks and links this team with the foremost international authorities and leading industry players in the area of sensor networks. This research network will guide collaborative research that will ensure Australia to play a world leading role in sensor network development and implementation.
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    Funded Activity

    Special Research Initiatives - Grant ID: SR0354767

    Funder
    Australian Research Council
    Funding Amount
    $20,000.00
    Summary
    Intelligent Sensors, Sensor Networks and Information Processing. Recent emergence of very large number of diverse sensors and sensor networks has the potential to impact on the quality of all areas of life. Scientific challenges in realizing this potential is significant because of the multidisciplinary nature and complexities involved. This research network builds on the best scientific talent available in the interdisciplinary areas (biology, mathematics, statistics, computing, electrical en .... Intelligent Sensors, Sensor Networks and Information Processing. Recent emergence of very large number of diverse sensors and sensor networks has the potential to impact on the quality of all areas of life. Scientific challenges in realizing this potential is significant because of the multidisciplinary nature and complexities involved. This research network builds on the best scientific talent available in the interdisciplinary areas (biology, mathematics, statistics, computing, electrical engineering and mechanical engineering) with the best overseas scientific teams to solve the underlying scientific problems to enable the Australian industry to exploit and apply this technology in areas of defense, health care and environment.
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    Funded Activity

    Linkage Projects - Grant ID: LP0882735

    Funder
    Australian Research Council
    Funding Amount
    $570,000.00
    Summary
    A high throughput Grid based environment for real time bio-medical imaging. Together with Leica, we will build a virtual microscope facility that will provide substantial functionality not currently available in Australia. This facility will have major national and international impact on bio-medical imaging. The software solutions and infrastructure, developed as part of this program will have considerable commercial and strategic value in their own right. One guaranteed avenue for exploitation .... A high throughput Grid based environment for real time bio-medical imaging. Together with Leica, we will build a virtual microscope facility that will provide substantial functionality not currently available in Australia. This facility will have major national and international impact on bio-medical imaging. The software solutions and infrastructure, developed as part of this program will have considerable commercial and strategic value in their own right. One guaranteed avenue for exploitation of the software will clearly be through our industry partner, Leica. Importantly, our proposal consolidates a critical mass of expertise connecting biomedical with computer science, thereby addressing a well-recognised constraint that to date has limited their national and international impact.
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    Funded Activity

    Linkage Projects - Grant ID: LP0669420

    Funder
    Australian Research Council
    Funding Amount
    $147,900.00
    Summary
    Quantitative measurement of Schizophrenia using Electrovestibulography. Schizophrenia was estimated to cost approximately $1.85billion in 2001 (0.3% of GDP and nearly $50k for each of the 37,000 Australians with the illness). Over one third of the cost is borne by sufferers and their carers. Misdiagnosis and incorrect therapy are common. To date quantitative assessment of Schizophrenics has been impossible making this tool potentially invaluable. An accurate diagnostic test could facilitate earl .... Quantitative measurement of Schizophrenia using Electrovestibulography. Schizophrenia was estimated to cost approximately $1.85billion in 2001 (0.3% of GDP and nearly $50k for each of the 37,000 Australians with the illness). Over one third of the cost is borne by sufferers and their carers. Misdiagnosis and incorrect therapy are common. To date quantitative assessment of Schizophrenics has been impossible making this tool potentially invaluable. An accurate diagnostic test could facilitate earlier diagnosis, more accurate treatment plans, and prevention of debilitating psychotic episodes for the sufferer. By being able to monitor drug efficacy the community can benefit by reduced drug costs, confinement times and hastened new drug development.
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    Funded Activity

    Discovery Projects - Grant ID: DP0878483

    Funder
    Australian Research Council
    Funding Amount
    $250,070.00
    Summary
    Determination of lung morphology from X-ray phase contrast radiographs. Current methods of imaging the lung rely heavily on low contrast images obtained with chest radiography or computed tomography. This research will develop new X-ray phase contrast imaging techniques capable of providing a tenfold contrast increase over conventional chest radiography at a fraction of the X-ray dose of computed tomography. Methods of extracting quantitative information on lung morphology and pathology from pha .... Determination of lung morphology from X-ray phase contrast radiographs. Current methods of imaging the lung rely heavily on low contrast images obtained with chest radiography or computed tomography. This research will develop new X-ray phase contrast imaging techniques capable of providing a tenfold contrast increase over conventional chest radiography at a fraction of the X-ray dose of computed tomography. Methods of extracting quantitative information on lung morphology and pathology from phase contrast chest radiographs will be developed during this research. Eventual outcomes are likely to lead to improved methods of detecting lung disease and injury for both biomedical and clinical studies.
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    Showing 1-6 of 6 Funded Activites

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