A5035644220- Stroke Rehabilitation and Recovery
- Dental Health and Care Utilization
- Virtual Reality Applications and Impacts
- Cleft Lip and Palate Research
- Botulinum Toxin and Related Neurological Disorders
- Musculoskeletal pain and rehabilitation
- Spatial Neglect and Hemispheric Dysfunction
- Augmented Reality Applications
- Numerical methods in inverse problems
- Sparse and Compressive Sensing Techniques
- Historical Studies on Reproduction, Gender, Health, and Societal Changes
- Cerebral Palsy and Movement Disorders
- Maternal and Perinatal Health Interventions
- Image and Signal Denoising Methods
- Advanced Image and Video Retrieval Techniques
- Dental Research and COVID-19
- Oral microbiology and periodontitis research
- Mentoring and Academic Development
- Robotics and Automated Systems
- Maternal Mental Health During Pregnancy and Postpartum
- Model Reduction and Neural Networks
- Functional Brain Connectivity Studies
- Image Retrieval and Classification Techniques
- Muscle activation and electromyography studies
- Historical Psychiatry and Medical Practices
Western Sydney University
2010-2023
University of Bath
2021-2023
Boston Fusion (United States)
2021
Shirley Ryan AbilityLab
2014-2015
The University of Sydney
2011-2014
Arizona State University
2008-2012
Camden and Campbelltown Hospitals
2011
South Western Sydney Local Health District
2011
Sydney Dental Hospital
2011
Engineering Arts (United States)
2011
Introduction: Evidence shows that physical activity during and after pregnancy results in health gains for women. There is no clear understanding apparent the literature of women's experiences with their pregnancy. The aim this study was to describe perceptions participation identify factors influencing participation. Methods: In qualitative descriptive study, face‐to‐face interviews were conducted 19 women, all at different stages pregnancy, who asked about activity. Results: Data analysis...
This paper presents a novel mixed reality rehabilitation system used to help improve the reaching movements of people who have hemiparesis from stroke. The provides real-time, multimodal, customizable, and adaptive feedback generated movement patterns subject's affected arm torso during grasp. is provided via innovative visual musical forms that present stimulating, enriched environment in which train subjects promote multimodal sensory-motor integration. A pilot study was conducted test...
Few existing interactive rehabilitation systems can effectively communicate multiple aspects of movement performance simultaneously, in a manner that appropriately adapts across various training scenarios. In order to address the need for such within stroke training, unified approach designing upper limb survivors has been developed and applied implementation an Adaptive Mixed Reality Rehabilitation (AMRR) System. The AMRR system provides computational evaluation multimedia feedback...
Background. Adaptive mixed reality rehabilitation (AMRR) is a novel integration of motion capture technology and high-level media computing that provides precise kinematic measurements engaging multimodal feedback for self-assessment during therapeutic task. Objective. We describe the first proof-of-concept study to compare outcomes AMRR traditional upper-extremity physical therapy. Methods. Two groups participants with chronic stroke received either month therapy (n = 11) or matched dosing...
We present a novel Automatic Target Recognition (ATR) system using open-vocabulary object detection and classification models. A primary advantage of this approach is that target classes can be defined just before runtime by non-technical end user, either few natural language text descriptions the target, or image exemplars, both. Nuances in desired targets expressed language, which useful for unique with little no training data. also implemented combination several techniques to improve...
We present an at-home assessment system for upper extremity rehabilitation with simple motion capture that is functional and affordable. This uses lighted targets to initiate a reach grasp (or touch, if the patient unable grasp) three touch- force-sensitive cones. During reach, end-point trajectory captured using low-cost, custom-built infrared two Wii Remotes. An embedded computer collects data tracking patient's progress over time. The low cost way track reaching trajectory, time, reaction...
Aims and objective. This study sought to explore the perceptions of pregnant women in Australia towards oral health care during pregnancy their views regarding midwives providing education, assessment referrals as part antenatal care. Background. Maintaining is important. Yet, many do not access dental services this time. Antenatal providers are now recommended promote maternal health, various countries have adopted strategy. However, Australia, a lack emphasis placed on especially by...
This paper presents a novel generalized computational framework for quantitative kinematic evaluation of movement in rehabilitation clinic setting. The integrates clinical knowledge and data‐driven analysis together systematic manner. provides three key benefits to rehabilitation: (a) the resulting continuous normalized measure allows clinician monitor quality on fine scale easily compare impairments across participants, (b) reveals effect individual components composite performance helping...
This paper presents the design of a home-based adaptive mixed reality system (HAMRR) for upper extremity stroke rehabilitation. The goal HAMRR is to help restore motor function chronic survivors by providing an engaging long-term reaching task therapy at home. uses intelligent adaptation scheme create continuously challenging and unique multi-year experience. overseen physical therapist, but day-to-day use can be independently set up completed survivor. HAMMR tracks movement wrist torso...
Interactive neurorehabilitation (INR) systems provide therapy that can evaluate and deliver feedback on a patient's movement computationally. There are currently many approaches to INR design implementation, without clear indication of which methods utilize best. This article presents key interactive computing, motor learning, media arts concepts utilized by an interdisciplinary group develop adaptive, mixed reality for upper extremity patients with stroke. Two used as examples show how the...
Research shows limited emphasis being placed on oral health by midwives in Australia and the need for further education this area. The study aim was to pilot a midwifery programme knowledge test identify any flaws its content design. Twenty-two from an antenatal ward South-Western Sydney completed 12 feedback forms/knowledge tests were returned. Data analysed using descriptive statistics analysis. Feedback data showed all appreciated that available online self-paced. Most found extremely...
Prefrontal-parietal networks are essential to many cognitive processes, including the ability differentiate new from previously presented items. As patients with schizophrenia exhibit structural abnormalities in these areas along well documented decrements recognition memory, we hypothesized that would demonstrate memory-related prefrontal and parietal physiology as measured by both functional magnetic resonance imaging magnetoencephalography (MEG). Medicated outpatients (n = 18) age-matched...
Abstract Deep neural network approaches to inverse imaging problems have produced impressive results in the last few years. In this survey paper, we consider use of generative models a variational regularisation approach problems. The considered regularisers penalise images that are far from range model has learned produce similar training dataset. We name family . success depends on quality and so propose set desired criteria assess guide future research. our numerical experiments, evaluate...
Abstract Objective. This paper investigates how generative models, trained on ground-truth images, can be used as priors for inverse problems, penalizing reconstructions far from images the generator produce. The aim is that learned regularization will provide complex data-driven to problems while still retaining control and insight of a variational method. Moreover, unsupervised learning, without paired training data, allows regularizer remain flexible changes in forward problem such noise...
The research evaluated an innovative educational program in which nurses, using avatars, role-played strategies to address horizontal violence within a virtual nursing unit developed on the Second Life platform.
To describe the implementation and evaluation of a midwife/midwifery student-mentoring program in one Local Health District Sydney NSW Australia.Evidence suggests well designed supported student mentorship programs can make difference to clinical placement experiences attrition rates midwifery students.In mentoring program, we used surveys, focus groups individual interviews.Eighty-six participants, including midwife mentors, students, non-mentor midwives managers participated evaluation....
We present the Systematic Test for Assessing Reaching Times (START), an interactive device measuring reaction and movement times. START uses randomly lighted buttons to elicit reaches a variety of target locations with standardized setup. A magnetized wristband reed switch monitor hand rest position while capacitive touch sensors embedded in sense successful reaches. microcontroller measures reaching times at tens milliseconds resolution. can easily translate clinic because it is portable,...
Today's demanding healthcare environment requires resiliency, creativity and innovation in delivery of patient care service. Hospitals must create a workplace where staff are supported to develop professionally as knowledge workers. In 2003, University Health Network (UHN) partnered with donnerwheeler, career planning development consultants, provide program for its 2,700 registered nurses. One component this project, peer coaching called Coach Mastery, is profiled case study, which...
This paper presents results from a clinical study of stroke survivors using an adaptive, mixed-reality rehabilitation (AMRR) system for reach and grasp therapy. The AMRR therapy provides audio visual feedback on the task, based detailed motion capture, that places movement in abstract, artistic context. type environment promotes generalizability strategies, which is shown through kinematic improvements untrained reaching task higher scale scores, addition to trained task.