- Medicine (RMH) - Research Publications
Medicine (RMH) - Research Publications
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ItemNo Preview AvailableDesigning an App for Pregnancy Care for a Culturally and Linguistically Diverse CommunitySmith, W ; Wadley, G ; Daly, JO ; Webb, M ; Hughson, J ; Hajek, J ; Parker, A ; Woodward-Kron, R ; Story, DA (The Association for Computing Machinery, 2017)We report a study to design and evaluate an app to support pregnancy information provided to women through an Australian health service. As part of a larger project to provide prenatal resources for culturally and linguistically diverse groups, this study focused on the design and reception of an app with the local Vietnamese community and health professionals of a particular hospital. Our study had three stages: an initial design workshop with the hospital; prototype design and development; prototype-based interviews with health professionals and focus groups with Vietnamese women. We explore how an app of this sort must be designed for a range of different use scenarios, considering its use by consumers with a multiplicity of differing viewpoints about its nature and purpose in relation to pregnancy care.
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ItemA Pilot Study on the use of Accelerometer Sensors for Monitoring Post Acute Stroke PatientsGubbi, J ; Kumar, D ; Rao, AS ; Yan, B ; Palaniswami, M (IEEE, 2013)The high incidence of stroke has raised a major concern among health professionals in recent years. Concerted efforts from medical and engineering communities are being exercised to tackle the problem at its early stage. In this direction, a pilot study to analyze and detect the affected arm of the stroke patient based on hand movements is presented. The premise is that the correlation of magnitude of the activities of the two arms vary significantly for stroke patients from controls. Further, the cross-correlation of right and left arms for three axes are differentiable for patients and controls. A total of 22 subjects (15 patients and 7 controls) were included in this study. An overall accuracy of 95.45% was obtained with sensitivity of 1 and specificity of 0.86 using correlation based method.
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ItemClassification of Convulsive Psychogenic Non-epileptic Seizures Using Histogram of Oriented Motion of Accelerometry SignalsKusmakar, S ; Gubbi, J ; Rao, AS ; Yan, B ; O'Brien, TJ ; PALANISWAMI, M (IEEE, 2015)A seizure is caused due to sudden surge of electrical activity within the brain. There is another class of seizures called psychogenic non-epileptic seizure (PNES) that mimics epilepsy, but is caused due to underlying psychology. The diagnosis of PNES is done using video-electroencephalography monitoring (VEM), which is a resource intensive process. Recently, accelerometers have been shown to be effective in classification of epileptic and non-epileptic seizures. In this work, we propose a novel feature called histogram of oriented motion (HOOM) extracted from accelerometer signals for classification of convulsive PNES. An automated algorithm based on HOOM is proposed. The algorithm showed a high sensitivity of (93.33%) and an overall accuracy of (80%) in classifying convulsive PNES.
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Item14th Annual Meeting of the Collaborative Group of the Americas on Inherited Colorectal Cancer Dallas, TX, USA. 12-13 October 2010. Abstracts.Parry, S ; Win, AK ; Macrae, FA ; Parry, B ; Gurrin, LC ; Lindor, NM ; Gallinger, S ; Hopper, JL ; Jenkins, MA (Springer Science and Business Media LLC, 2011)
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ItemTherapeutic potential of targeting inflammationHamilton, JA (SPRINGER BASEL AG, 2013-07)
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ItemNo Preview AvailableFeasibility of a Chronic, Minimally Invasive Endovascular Neural InterfaceOpie, NL ; Rind, GS ; John, SE ; Ronayne, SM ; Grayden, DB ; Burkitt, AN ; May, CN ; O'Brien, TJ ; Oxley, TJ ; Patton, J ; Barbieri, R ; Ji, J ; Jabbari, E ; Dokos, S ; Mukkamala, R ; Guiraud, D ; Jovanov, E ; Dhaher, Y ; Panescu, D ; Vangils, M ; Wheeler, B ; Dhawan, AP (IEEE, 2016)Development of a neural interface that can be implanted without risky, open brain surgery will increase the safety and viability of chronic neural recording arrays. We have developed a minimally invasive surgical procedure and an endovascular electrode-array that can be delivered to overlie the cortex through blood vessels. Here, we describe feasibility of the endovascular interface through electrode viability, recording potential and safety. Electrochemical impedance spectroscopy demonstrated that electrode impedance was stable over 91 days and low frequency phase could be used to infer electrode incorporation into the vessel wall. Baseline neural recording were used to identify the maximum bandwidth of the neural interface, which remained stable around 193 Hz for six months. Cross-sectional areas of the implanted vessels were non-destructively measured using the Australian Synchrotron. There was no case of occlusion observed in any of the implanted animals. This work demonstrates the feasibility of an endovascular neural interface to safely and efficaciously record neural information over a chronic time course.
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ItemPrecision Medicine: Dawn of Supercomputing in ‘omics ResearchReumann, M ; Holt, KE ; Inouye, M ; Stinear, T ; Goudey, B ; Abraham, G ; WANG, Q ; Shi, F ; Kowalczyk, A ; Pearce, A ; Isaac, A ; Pope, BJ ; Butzkueven, H ; Wagner, J ; Moore, S ; Downton, M ; Church, PC ; Turner, SJ ; Field, J ; Southey, M ; Bowtell, D ; Schmidt, D ; Makalic, E ; Zobel, J ; Hopper, J ; Petrovski, S ; O'Brien, T (eResearch Australasia, 2011)