Prediction of epilepsy seizure onset using nonlinear analysis of EEG recordings. This project will develop the theory and algorithms for reliable and robust prediction of the onset of epileptic seizures and the characterisation of epileptic seizures based on EEG data. Our interdisciplinary team consists of neuroscientists and systems engineers supported with clinicians and software developers. The team will develop the theory and design, implement and evaluate decision support software that is a ....Prediction of epilepsy seizure onset using nonlinear analysis of EEG recordings. This project will develop the theory and algorithms for reliable and robust prediction of the onset of epileptic seizures and the characterisation of epileptic seizures based on EEG data. Our interdisciplinary team consists of neuroscientists and systems engineers supported with clinicians and software developers. The team will develop the theory and design, implement and evaluate decision support software that is able to interpret eeg data and present epilepsy relevant information to clinicians and patients. Our methods are based on statistical signal processing, nonlinear dynamics (bifurcation and time-series methods) and systems engineering (system identification, adaptive methods).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
Enhanced brain and muscle signal separation verified by electrical scalp recordings from paralysed awake humans. This project will develop algorithms to separate brain signals from muscle signals in electrical recordings from the scalp. Cleaner brain signal measurement enables improvements in understanding how the brain works, the diagnosis and management of neurological diseases, and the development of brain-controlled devices for very disabled people.