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
Continuous wave excitation for low power Magnetic Resonance Imaging. This project aims to augment the capabilities of Magnetic Resonance Imaging (MRI) systems, using continuous wave (CW) transmission and signal reception, to image objects using very low excitation power. Any given MRI sequence tries to solve an inverse problem, involving estimation of some subset of hidden states and parameters of the system, given the observed data. Using transient and steady-state CW magnetisation dynamics to ....Continuous wave excitation for low power Magnetic Resonance Imaging. This project aims to augment the capabilities of Magnetic Resonance Imaging (MRI) systems, using continuous wave (CW) transmission and signal reception, to image objects using very low excitation power. Any given MRI sequence tries to solve an inverse problem, involving estimation of some subset of hidden states and parameters of the system, given the observed data. Using transient and steady-state CW magnetisation dynamics to solve inverse problems is expected to advance technology toward lower power, lower cost solutions for MRI scanners in healthcare and industrial applications, including materials science and mineral processing.Read moreRead less
Advanced Signal Processing for Radiation Spectroscopy. Southern Innovation develops and markets world-leading pulse processing technologies for the rapid, accurate detection and measurement of radiation. The underlying real-time signal processing challenge relates to isolating often overlapping pulses, determining when each pulse arrived and the energy of each pulse. Recent advances in the computational power of digital signal processing boards makes it timely to develop innovative pulse process ....Advanced Signal Processing for Radiation Spectroscopy. Southern Innovation develops and markets world-leading pulse processing technologies for the rapid, accurate detection and measurement of radiation. The underlying real-time signal processing challenge relates to isolating often overlapping pulses, determining when each pulse arrived and the energy of each pulse. Recent advances in the computational power of digital signal processing boards makes it timely to develop innovative pulse processing algorithms based on optimal filtering of stochastic processes. It is expected that these algorithms will have widespread impact, both commercially for minerals exploration, materials analysis, medical imaging and security screening, and scientifically for improving the performance of synchrotrons and other equipment.Read moreRead less
Optimisation of signal processing and electrical stimulation algorithms for the abatement of epileptic seizures. Epilepsy is the second-most common neurological disorder behind stroke and ischemic attacks, affecting 1-2 per cent of the nation's population. Pharmaceutical therapies are ineffective in approximately one third of cases, the result being a large unmet need for novel treatments. The devices to be produced through this project will improve the quality of life of many patients in the fu ....Optimisation of signal processing and electrical stimulation algorithms for the abatement of epileptic seizures. Epilepsy is the second-most common neurological disorder behind stroke and ischemic attacks, affecting 1-2 per cent of the nation's population. Pharmaceutical therapies are ineffective in approximately one third of cases, the result being a large unmet need for novel treatments. The devices to be produced through this project will improve the quality of life of many patients in the future and alleviate their dependence on traditional medications. The devices will also reduce the patients' requirements for medical practitioners, hospital and ambulance services, and will therefore also reduce the financial burden that neurological and epilepsy patients place on the community.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
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.
Neural Activity Shaping for Retinal and Cochlear Implants. This project aims to develop methods to control and optimise the spatial patterns of neural activity evoked by neural prostheses in order to improve the resolution of neuroprostheses. A major problem for neural prostheses is that the electrical current used to stimulate neurons causes a diffuse spread of activity in the neural tissue, which limits the resolution of the device. For patients this translates into limitations in sound qualit ....Neural Activity Shaping for Retinal and Cochlear Implants. This project aims to develop methods to control and optimise the spatial patterns of neural activity evoked by neural prostheses in order to improve the resolution of neuroprostheses. A major problem for neural prostheses is that the electrical current used to stimulate neurons causes a diffuse spread of activity in the neural tissue, which limits the resolution of the device. For patients this translates into limitations in sound quality, in the case of cochlea implants, or visual acuity, for retinal implants. The outcome of the project will be algorithms that optimally choose the currents on each electrode so as to shape neural activity at the finer resolution of electrode spacing rather than the coarser resolution of current spread.Read moreRead less
Coherent Optical Orthogonal Frequency-Division Multiplexing. Coherent optical orthogonal frequency-division multiplexing (CO-OFDM) incorporates the benefits of OFDM to compensate for distortion and monitor the channel conditions in long-haul optical links. The advantages of CO-OFDM can help meet the challenges of future optical networks that Australia depends upon for its information infrastructure and economic growth. Australia is currently at the forefront of optical OFDM technology, and the ....Coherent Optical Orthogonal Frequency-Division Multiplexing. Coherent optical orthogonal frequency-division multiplexing (CO-OFDM) incorporates the benefits of OFDM to compensate for distortion and monitor the channel conditions in long-haul optical links. The advantages of CO-OFDM can help meet the challenges of future optical networks that Australia depends upon for its information infrastructure and economic growth. Australia is currently at the forefront of optical OFDM technology, and the continuation of these research activities will further improve Australia's international ICT reputation. Furthermore, in the course of the project, a senior research associate and multiple highly-skilled students will be trained and exposed to techniques and innovations in this exciting field.Read moreRead less
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
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.