Can Real-time Biofeedback Of Foot Clearance Data Be Used To Assist With Gait Rehabilitation Following Stroke?
Funder
National Health and Medical Research Council
Funding Amount
$587,143.00
Summary
A new intervention for falls-risk minimization is proposed by providing additional visual sensory information to increase foot-ground clearance in order to walk more safely.A randomised controlled trial will be employed to assess the effects of biofeedback on foot-ground clearance during gait training. The outcome will be innovative biofeedback-based gait training that could significantly enhance existing stroke rehabilitation programs.
The Centre for Research Excellence in Nursing Interventions for Hospitalised Patients will provide evidence to improve the nursing care of a broad range of hospitalised patients who are at risk of complications related to compromised skin integrity and poor pain/anxiety management. Systematic reviews and clinical trials will provide the basis for developing clinical practice guidelines to assist nurses in providing high quality care to the 3.5 million Australians admitted to hospital each year.
Motor Functioning In Young People With Attention Deficit Hyperactivity Disorder – Combined Type: A Three-dimensional Motion Analysis Study.
Funder
National Health and Medical Research Council
Funding Amount
$477,065.00
Summary
Attention deficit hyperactivity disorder –combined type (ADHD-CT) is a complex neuropsychiatric disorder with a progressively devastating impact on psychosocial development. The first objective of this study is to use 3D-motion analysis to ‘probe’ the underlying brain dysfunction which characterises ADHD-CT. The second objective of this study is to improve our understanding of the link between movement problems, and (a) injury proneness, and (b) social-communicative problems, in children with AD ....Attention deficit hyperactivity disorder –combined type (ADHD-CT) is a complex neuropsychiatric disorder with a progressively devastating impact on psychosocial development. The first objective of this study is to use 3D-motion analysis to ‘probe’ the underlying brain dysfunction which characterises ADHD-CT. The second objective of this study is to improve our understanding of the link between movement problems, and (a) injury proneness, and (b) social-communicative problems, in children with ADHD-CT.Read moreRead less
Distinguishing categories and dimensions: Taxometric investigations. This project aims to apply and refine promising new methods for classifying psychological variations. These "taxometric" methods detect categories and locate their boundaries, enabling improved taxonomies of personality and mental disorder. They will be used to examine whether personality disorders are discrete categories or fall on a continuum with normal personality, and whether people mentally represent social groups accordi ....Distinguishing categories and dimensions: Taxometric investigations. This project aims to apply and refine promising new methods for classifying psychological variations. These "taxometric" methods detect categories and locate their boundaries, enabling improved taxonomies of personality and mental disorder. They will be used to examine whether personality disorders are discrete categories or fall on a continuum with normal personality, and whether people mentally represent social groups according to qualitatively distinct ontological assumptions. The statistical validity of these methods will be comprehensively assessed. The project should help to resolve enduring questions about psychological classification and deepen our understanding of social stereotyping.Read moreRead less
New Insights on Modelling Time Trends with Panel Data: Theory and Practice. This project aims to tackle important challenges in time trend modelling by taking advantage of panel data structures. This project expects to propose flexible models in time trend modelling to retrieve reliable inference. The expected outcomes include innovative econometric models and methods that have a wide range of applications, and are particularly suited for empirical problems within large and complex systems. This ....New Insights on Modelling Time Trends with Panel Data: Theory and Practice. This project aims to tackle important challenges in time trend modelling by taking advantage of panel data structures. This project expects to propose flexible models in time trend modelling to retrieve reliable inference. The expected outcomes include innovative econometric models and methods that have a wide range of applications, and are particularly suited for empirical problems within large and complex systems. This will provide significant benefits to all fields in which data displays any form of trending behaviour. The proposed model is used to evaluate the economic consequences of climate change and global housing market contagion, which provide strong evidence-based insights to the environmental and economic policies in Australia.Read moreRead less
Constrained and Stable Solutions of Nonlinear and Semismooth Equations. In this project, comprehensive models for designing safe power system parameters will be proposed, efficient algorthms for solving these models will be constructed. The new models and algorithms in this project will provide efficient tools to prevent catastrophic events in power systems, which is related with national security. This project will also strengthen collaboration of Australian applied
mathematians with inter ....Constrained and Stable Solutions of Nonlinear and Semismooth Equations. In this project, comprehensive models for designing safe power system parameters will be proposed, efficient algorthms for solving these models will be constructed. The new models and algorithms in this project will provide efficient tools to prevent catastrophic events in power systems, which is related with national security. This project will also strengthen collaboration of Australian applied
mathematians with international researchers and engineering scientists. This is important for the advance of science and technology in
Australia.Read moreRead less
Computational modelling of nanofluids for industrial applications. The use of nanoparticles in heat transfer fluids, then known as nanofluids, increases their specific heat and thermal conductivity. Recent experimental works highlight that anomalous transport phenomena are evident in nanofluids that cannot be adequately described by classical conservation laws. We will extend these conservation laws to incorporate fractional operators to capture the fluid memory effects and the impact of particl ....Computational modelling of nanofluids for industrial applications. The use of nanoparticles in heat transfer fluids, then known as nanofluids, increases their specific heat and thermal conductivity. Recent experimental works highlight that anomalous transport phenomena are evident in nanofluids that cannot be adequately described by classical conservation laws. We will extend these conservation laws to incorporate fractional operators to capture the fluid memory effects and the impact of particle clustering. Computational modelling and experimental investigations will be undertaken to identify the heat transfer mechanisms of various nanofluids. The outcomes of the work will increase knowledge on nanofluids and offer a significant opportunity to improve the efficiency of many thermal engineering systems.Read moreRead less
Identification and inference in nonparametric models. This project will develop reliable methods for identification, estimation and inference of nonparametric models for the evaluation of economic policies on outcome variables of interest. This econometric methodology will allow a better understanding of the quantitative effects of an economic policy which will result in better informed policy decisions. The results will have applications to labour market policies, health care policies and educa ....Identification and inference in nonparametric models. This project will develop reliable methods for identification, estimation and inference of nonparametric models for the evaluation of economic policies on outcome variables of interest. This econometric methodology will allow a better understanding of the quantitative effects of an economic policy which will result in better informed policy decisions. The results will have applications to labour market policies, health care policies and education policies among others. The project will also provide national benefits in terms of building up the local stock of researchers trained in the area of identification and estimation of nonparametric models; it will further improve the international reputation that Australia has in econometric theory.Read moreRead less
Dynamics of eigenvalue/eigenspace algorithms with applications to signal processing. Many problems in signal and systems lead naturally to an eigenvalue/eigenspace determination and tracking problem; for example (acoustic) echo-cancellation, crosstalk suppression in ADSL modems, direction of arrival determination with an array of sensors, linear system identification etc. Exploiting methods from global analysis and dynamical systems theory we will study the available algorithms for eigenspace de ....Dynamics of eigenvalue/eigenspace algorithms with applications to signal processing. Many problems in signal and systems lead naturally to an eigenvalue/eigenspace determination and tracking problem; for example (acoustic) echo-cancellation, crosstalk suppression in ADSL modems, direction of arrival determination with an array of sensors, linear system identification etc. Exploiting methods from global analysis and dynamical systems theory we will study the available algorithms for eigenspace determination to characterise their computational efficiency, accuracy and effectiveness in various data scenarios. The analysis will lead to improved designs for eigenvalue/eigenspace algorithms, as well as design tools to engineer algorithms to specific situations.Read moreRead less
Non- and Semi-Parametric Panel Data Econometrics: Theory and Applications. This project proposes to tackle several very important and difficult issues in modelling general climatological, economic and financial panel data that involve possible trending components. This project seeks to establish some general asymptotic theory for model estimation and specification technologies that are suited to such general nonlinear panel data that may be stochastically non-stationary and endogenous. The resea ....Non- and Semi-Parametric Panel Data Econometrics: Theory and Applications. This project proposes to tackle several very important and difficult issues in modelling general climatological, economic and financial panel data that involve possible trending components. This project seeks to establish some general asymptotic theory for model estimation and specification technologies that are suited to such general nonlinear panel data that may be stochastically non-stationary and endogenous. The research outcomes of this project are expected to be applicable in evaluating and improving empirical model building and forecasting from better models in climatology, economics and finance with possible endogeneity and nonlinearity and non-stationarity.Read moreRead less