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Research Topic : pattern recognition
Socio-Economic Objective : Medical instrumentation
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Pattern Recognition (7)
Biomedical Engineering Not Elsewhere Classified (5)
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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: 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

    Linkage Projects - Grant ID: LP0774994

    Funder
    Australian Research Council
    Funding Amount
    $501,000.00
    Summary
    Multi-modal, Multi-dimensional Virtual Microscopy for Diagnostic Quantitative Pathology. This project will contribute to the development of a new generation of virtual microscopy (VM) systems that provide new and innovative features capable of significantly increasing the adoption of digital imaging technology throughout the field of pathology. These systems have the potential to significantly enhance the efficiency and efficacy of not only primary diagnostic workflows, but also aspects of profi .... Multi-modal, Multi-dimensional Virtual Microscopy for Diagnostic Quantitative Pathology. This project will contribute to the development of a new generation of virtual microscopy (VM) systems that provide new and innovative features capable of significantly increasing the adoption of digital imaging technology throughout the field of pathology. These systems have the potential to significantly enhance the efficiency and efficacy of not only primary diagnostic workflows, but also aspects of proficiency testing and continuing education vital for a vibrant, well regulated discipline. In addition, the project will contribute to our knowledge of the pathology assessed in the screening and diagnosis of cancers such as cervical, lung and bladder cancers.
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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

    Special Research Initiatives - Grant ID: SR0354604

    Funder
    Australian Research Council
    Funding Amount
    $10,000.00
    Summary
    ARC Network in Imaging Science and Technology. The ARC Network in Imaging Science and Technology is a field of research network covering the fundamental science and technological development of applied imaging systems. The network will encompass all aspects of the imaging sciences from image formation, through image processing and analysis, and on to image visualisation. In particular, the network will focus on a number of application areas that utilise these core technologies: medical imaging; .... ARC Network in Imaging Science and Technology. The ARC Network in Imaging Science and Technology is a field of research network covering the fundamental science and technological development of applied imaging systems. The network will encompass all aspects of the imaging sciences from image formation, through image processing and analysis, and on to image visualisation. In particular, the network will focus on a number of application areas that utilise these core technologies: medical imaging; surveillance and security; materials science and metallurgy; environmental monitoring; and consumer imaging. In this way, the network will provide an environment for creative inter-disciplinary research to the socio-economic benefit of Australia.
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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

    Linkage Projects - Grant ID: LP0668128

    Funder
    Australian Research Council
    Funding Amount
    $158,000.00
    Summary
    Classification of human movement patterns from a triaxial accelerometer for home telecare. The purpose of the proposed ambulatory monitoring system is to ensure that a community-dwelling elderly person receives automatic, timely aid in the event of an adverse situation while alone at home, such as a fall or stroke. This project is aimed at the priority area 'ageing well, ageing productively'. Providing rapid assistance after a fall will prevent much of the morbidity, distress and socio-economic .... Classification of human movement patterns from a triaxial accelerometer for home telecare. The purpose of the proposed ambulatory monitoring system is to ensure that a community-dwelling elderly person receives automatic, timely aid in the event of an adverse situation while alone at home, such as a fall or stroke. This project is aimed at the priority area 'ageing well, ageing productively'. Providing rapid assistance after a fall will prevent much of the morbidity, distress and socio-economic cost that are associated with falls. Specifically, this project brings new advanced digital signal processing algorithms to bear on the difficult signal enhancement and classification problems associated with the information stream received from the triaxial accelerometer worn by the elderly client.
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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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