New entropy measures of short term signals for smart wearable devices. This project aims to improve reliability and accuracy of wearable devices by developing a new set of computationally efficient algorithms. Wearable devices can be very effective in remote and continuous monitoring to detect short or bursty anomalous events. Present devices are unable to detect such events effectively due to limited capability in processing short length signal. This project will provide computationally efficie ....New entropy measures of short term signals for smart wearable devices. This project aims to improve reliability and accuracy of wearable devices by developing a new set of computationally efficient algorithms. Wearable devices can be very effective in remote and continuous monitoring to detect short or bursty anomalous events. Present devices are unable to detect such events effectively due to limited capability in processing short length signal. This project will provide computationally efficient algorithms for signal quality analysis and enhanced feature extraction methods in resource constrained wearable devices. This will improve the reliability and performance of wearable devices for adoption in intelligent decision-making systems.Read moreRead less
Towards early detection of upper airway obstruction in children: investigation of autonomic control. This project focuses on the investigation of new indicators for early detection of upper airway obstruction (UAO)-which is a common sleep disorder in children. Failure to treat UAO can result in serious adverse outcomes including failure to thrive, neurocognitive deficits, developmental delay, behavioural disorders and cardiovascular disease. Thus, early treatment of UAO will significantly improv ....Towards early detection of upper airway obstruction in children: investigation of autonomic control. This project focuses on the investigation of new indicators for early detection of upper airway obstruction (UAO)-which is a common sleep disorder in children. Failure to treat UAO can result in serious adverse outcomes including failure to thrive, neurocognitive deficits, developmental delay, behavioural disorders and cardiovascular disease. Thus, early treatment of UAO will significantly improve quality of life for the child. Direct benefits to community health via reduced costs for medical treatment will also be a key outcome. The establishment of new diagnostic indicators will form the basis of new tools for identifying child sleep disorders and contribute to advancing Australia's international leading position in health technology. Read moreRead less
New techniques to detect fetal heart abnormalities. Australia’s national fetal death rate is 6.7 per one thousand births. In Australia’s Indigenous community it surges to 12.3 deaths per one thousand births. Early diagnosis (and management) of abnormal fetu.ses with cardiac defects will go a long way in reducing these numbers. The proposed technology will help set up easy-to-use systems for fetal cardiac abnormality screening and reduce fetal deaths and congenital heart disease burden in adult l ....New techniques to detect fetal heart abnormalities. Australia’s national fetal death rate is 6.7 per one thousand births. In Australia’s Indigenous community it surges to 12.3 deaths per one thousand births. Early diagnosis (and management) of abnormal fetu.ses with cardiac defects will go a long way in reducing these numbers. The proposed technology will help set up easy-to-use systems for fetal cardiac abnormality screening and reduce fetal deaths and congenital heart disease burden in adult life. This project will also provide domain trained researchers with cutting edge international academic and industry expertise.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE120102210
Funder
Australian Research Council
Funding Amount
$350,333.00
Summary
Feedback control as a tool for enhanced neuroprosthetic stimulation. The aim is to use control theory tools to find optimal stimulation parameters to use in a bionic implant. This project will lead to improvements in understanding of mechanisms underlying electrical stimulation and to improvements in medical bionics technologies.
Model-based estimation methods for improved classification of electroencephalographic data: application to monitoring depth of anaesthesia. This project will use advanced computing methods applied to electrical brain wave recordings to track how the brain changes as a person undergoes general anaesthesia during surgery. This will lead to better anaesthesia monitoring devices and reduce the chances of people experiencing pain during surgery or IQ deficits after the anaesthesia.
Modelling of neural plasticity for enhanced performance of brain-machine interfaces. Plasticity of the brain is one of the great scientific challenges of neuroscience. The aim of this project is to model the synaptic changes that occur with reward-modulated spike-timing-dependent plasticity and apply the model to developing plasticity targeted brain-machine interfaces. The significance of this approach is that such plasticity targeted techniques provide the prospect of taking advantage of the un ....Modelling of neural plasticity for enhanced performance of brain-machine interfaces. Plasticity of the brain is one of the great scientific challenges of neuroscience. The aim of this project is to model the synaptic changes that occur with reward-modulated spike-timing-dependent plasticity and apply the model to developing plasticity targeted brain-machine interfaces. The significance of this approach is that such plasticity targeted techniques provide the prospect of taking advantage of the underlying neural plasticity to optimise the form of the neural recording and electrical stimulation. The outcomes will be to greatly improve the performance of brain-machine interface in terms of measures such as the number and sensitivity of channels, as well as robustness and reliability.Read moreRead less
Individualized cochlear implant sound coding: Optimized algorithms for better hearing. One in six Australians is affected by hearing loss. Hearing loss impacts on a person's educational and employment opportunities, resulting in a significant economic impact upon Australia. Over 10% of people with hearing impairment have a severe or profound hearing loss and may be candidates for a cochlear implant. Current cochlear implant sound processing only offers limited benefit to users. This project repr ....Individualized cochlear implant sound coding: Optimized algorithms for better hearing. One in six Australians is affected by hearing loss. Hearing loss impacts on a person's educational and employment opportunities, resulting in a significant economic impact upon Australia. Over 10% of people with hearing impairment have a severe or profound hearing loss and may be candidates for a cochlear implant. Current cochlear implant sound processing only offers limited benefit to users. This project represents a truly innovative pathway forward in the development of cochlear implant sound coding that could substantially increase the speech perception of users, enabling these people to become and remain active and productive members of our community.Read moreRead less
Non-invasive measurement of intracranial pressure by means of transcranial doppler blood flow and central aortic pressure. The investigation will produce a device that will aid doctors measuring brain pressure without drilling holes through the skull. The device will use the technology of an Australian company that has the only patented system to deduce the pressure in the brain by measuring pressure close to the heart and the brain and by recording the pressure pulse wave at the wrist. The comm ....Non-invasive measurement of intracranial pressure by means of transcranial doppler blood flow and central aortic pressure. The investigation will produce a device that will aid doctors measuring brain pressure without drilling holes through the skull. The device will use the technology of an Australian company that has the only patented system to deduce the pressure in the brain by measuring pressure close to the heart and the brain and by recording the pressure pulse wave at the wrist. The community benefit will be in terms of the safety and ease with which changes in pressure in the brain can be detected. It will also advance the world renowned Australian technology in a new area of application.Read moreRead less
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.Read moreRead less
Efficient learning from multiple brain imaging data sets. Brain imaging data analysis methods have proven to be very effective in the study of brain functions and the identification of brain disorders because they minimise the modelling assumptions on the underlying structure of the problem. Analysis of multiple brain imaging data sets, either of the same modality as in multitask or multisubject data sets or from different modalities as in the case of data fusion, is a challenging problem in bi ....Efficient learning from multiple brain imaging data sets. Brain imaging data analysis methods have proven to be very effective in the study of brain functions and the identification of brain disorders because they minimise the modelling assumptions on the underlying structure of the problem. Analysis of multiple brain imaging data sets, either of the same modality as in multitask or multisubject data sets or from different modalities as in the case of data fusion, is a challenging problem in biomedical image analysis. This project will lead to fundamental contributions as well as techniques that address both problems: extraction of relevant features information from multisubject brain imaging data sets of the same modality or from fusion of brain imaging data sets collected from multimodalities.Read moreRead less