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Australian State/Territory : QLD
Socio-Economic Objective : Diagnostic methods
Field of Research : Signal Processing
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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

    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: DP0665697

    Funder
    Australian Research Council
    Funding Amount
    $240,000.00
    Summary
    Multi-Channel Time-Frequency Analysis for EEG Neonatal Seizure Characterization. This project researches new signal processing methodologies for a multi-channel characterization of seizures for use in diagnosing newborn brain dysfunctions. The outcomes will result in important immediate clinical benefits for sick newborn babies and will fundamentally facilitate research progress in the development of neuroprotectants and anticonvulsants. The success of this project will contribute in minimizing .... Multi-Channel Time-Frequency Analysis for EEG Neonatal Seizure Characterization. This project researches new signal processing methodologies for a multi-channel characterization of seizures for use in diagnosing newborn brain dysfunctions. The outcomes will result in important immediate clinical benefits for sick newborn babies and will fundamentally facilitate research progress in the development of neuroprotectants and anticonvulsants. The success of this project will contribute in minimizing the social financial costs by diagnosing brain disorders in the initial stage of life and preventing further damage. This has the potential to result in a standard diagnostic equipment in neonatal intensive care units and medical research centres.
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    Funded Activity

    Linkage Projects - Grant ID: LP0562317

    Funder
    Australian Research Council
    Funding Amount
    $190,000.00
    Summary
    Design of Neonatal Seizure Diagnosis Methods Using Time-Frequency Signal Processing Techniques. Seizures occur in approximately 0.5% of all newborns. They are often the only indicator of an early dysfunction in central nervous system (CNS). Their occurrence raises concerns about the underlying cause, its effect on the brain, and the appropriate treatment. Newborn seizures are mostly sub-clinical and only detected through the Electroencephalogram. For an efficient diagnosis, seizure classificatio .... Design of Neonatal Seizure Diagnosis Methods Using Time-Frequency Signal Processing Techniques. Seizures occur in approximately 0.5% of all newborns. They are often the only indicator of an early dysfunction in central nervous system (CNS). Their occurrence raises concerns about the underlying cause, its effect on the brain, and the appropriate treatment. Newborn seizures are mostly sub-clinical and only detected through the Electroencephalogram. For an efficient diagnosis, seizure classification systems were proposed based on visual observations. This project proposes developing a novel approach to automate the classification process using time-frequency (TF) signal processing techniques based on the multi-channel characteristics of the seizure; namely: A) TF signature B) origin, and C) propagation behaviour.
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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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