(02) 9399 1834
Graduated from PhD in Theoretical Physics / Complex Systems at University of Sydney, aimed to automate the characterisation of the human alpha rhythm to assist model development in EEG generation. Interested in time-series and spectral analysis algorithms and the associated deployment. Curious about the adversarial aspects of machine learning techniques, pathological cases in particular.
Current work in NeuRA focus on quantifying breathing during sleep and ways to automate the process.
Approximately 1/3 of all obstructive sleep apnoea (OSA) patients have poor upper airway muscle activity during sleep which contributes to the repetitive narrowing or closure of the airway during sleep. This leads to abrupt arousals and disruption of sleep throughout the night which can lead to various health problems including diabetes, cardiovascular diseases, obesity, high blood pressure, impaired cognitive function, decreased quality of life and patients are more likely to be involved in motor vehicular accidents.
Recent studies have found that combination of these noradrenergic and antimuscarinic agents help to improve upper airway muscle activity during sleep. Therefore, this clinical study will focus on determining the effects of these agents on the severity of sleep apnoea in OSA patients in hopes to improve treatment outcomes for OSA patients in the future. The study also aims to determine the effects of these combination of agents on cognitive alertness and other sleep parameters which are impaired in patients with OSA.
Obstructive sleep apnoea (OSA) is characterised by the recurrent collapse or narrowing of the upper airway during sleep. OSA is also associated with adverse cardiovascular, metabolic, neurocognitive, quality of life and safety consequences. The first line treatment continuous positive airway pressure (CPAP) which is highly efficacious but poorly tolerated. Oral mandibular advancement splint (MAS) therapy is the leading alternative to CPAP to treat obstructive sleep apnoea, although it is difficult to predict treatment success.
Therefore, this study aims to determine the efficacy of targeted therapeutic approaches to treat OSA whilst using novel techniques to advance knowledge of upper airway function and the mechanisms of a MAS device. We aim to develop accurate tools to predict treatment outcome with a MAS device, develop novel approaches to monitor and diagnose OSA. This study is a part of the government Cooperative Research Centre Program linking researchers and industry.
DR PETER BURKE Postdoctoral fellow
RICHARD LIM Honours student
DR AHMAD BAMAGOOS PhD student
AMAL OSMAN PhD student
Sleep Lab Manager
: 9399 1886
To investigate age trends, sex differences, and splitting of alpha peaks of the EEG spectrum in the healthy population. Observed increases in alpha frequency in children and decreases in the elderly were consistent with those from earlier studies. A large fraction of participants (≈ 44%) showed multiple distinct alpha rhythm thus investigations which only examine the alpha frequency with the highest peak power can produce misleading results. The strong dependence of alpha frequency on age and anterior-posterior position indicates use of a fixed alpha frequency band is insufficient to capture the full characteristics of the alpha rhythm.