Medicine (RMH) - Research Publications
Permanent URI for this collection
Search Results
1 - 10 of 10
-
ItemEffect Of Arm Deweighting Using End-Effector Based Robotic Devices On Muscle Activity.(IEEE, 2018)Deweighting of the limb is commonly performed for patients with a neurological injury, such as stroke, as it allows these patients with limited muscle activity to perform movements. Deweighting has been implemented in exoskeletons and other multi-contact devices, but not on an end-effector based device with single contact point between the assisting robot and the human limb being assisted. This study inves-tigates the effects of deweighting using an end-effector based device on healthy subjects. The muscle activity of five subjects was measured in both static postures and dynamic movements. The results indicate a decrease in the activity of muscles which typically act against gravity - such as the anterior deltoid and the biceps brachii - but also suggest an increase in activity in muscles which act with gravity - such as the posterior deltoid and the lateral triceps. This can be explained by both the change in required muscle-generated torques and a conscious change in approach by the participants. These observations have implications for neurorehabilitation, particularly with respect to the muscle activation patterns which are trained through rehabilitation exercises.
-
ItemNo Preview Available“Tu” et “vous”: étude sociolinguistique dans la banlieue parisienne(Instituto Cervantes, 2003)
-
ItemNo Preview AvailableDesigning an App for Pregnancy Care for a Culturally and Linguistically Diverse Community(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.
-
ItemA Pilot Study on the use of Accelerometer Sensors for Monitoring Post Acute Stroke Patients(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.
-
ItemClassification of Convulsive Psychogenic Non-epileptic Seizures Using Histogram of Oriented Motion of Accelerometry Signals(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.
-
ItemInforming the Design of a health virtual community of practice: a knowledge translation approach(AISel, 2018)Access to knowledge forms an integral part of the continuous learning processes of medical and other health professionals throughout their career. Modern technologies have become instrumental in ex-tending learning processes to the online realm, particularly through the use of social media technologies. Health Practitioners’ (HPs) exploitation of online social media technologies for online learning and knowledge sharing purposes has evolved into Virtual Communities of Practice (VCoP). However, there is limited research on the types of knowledge being shared to fulfil the notion of ‘knowledge-into-action’ in the healthcare domain. In addition, little is known of the use of online social media technologies as a catalyst to achieve ‘knowledge-into-action’. This research in progress paper extends the conceptual model from our previous work and draws on current literature that identifies the types of knowledge being shared in a Health VCoP. We discuss some of our data using our conceptual lens as a preliminary analysis of our work. Expected outcomes are a new extended conceptual model that fulfils the notion of ‘knowledge-into-action’ that informs the design of an IT artefact based on types of knowledge being shared in a Health VCoP.
-
Item14th Annual Meeting of the Collaborative Group of the Americas on Inherited Colorectal Cancer Dallas, TX, USA. 12-13 October 2010. Abstracts.(Springer Science and Business Media LLC, 2011)
-
ItemTherapeutic potential of targeting inflammation(SPRINGER BASEL AG, 2013-07)
-
ItemNo Preview AvailableFeasibility of a Chronic, Minimally Invasive Endovascular Neural Interface(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.
-
ItemPrecision Medicine: Dawn of Supercomputing in ‘omics Research(eResearch Australasia, 2011)