Wheelchair Training Program for New Manual Wheelchair Users

Manual wheelchairs are commonly used for everyday mobility among people with lower limb impairments, including persons with spinal cord injury (SCI). Manual wheelchair users often experience pain and chronic overuse injuries in their upper extremities, limiting their mobility and their ability to complete daily activities. The repetitive trauma of propelling a wheelchair may be a contributing factor to upper extremity pain and injury. The anatomy of the upper extremities is not designed for the number of repetitions and the amount of force involved in everyday wheelchair propulsion. Research has been conducted to identify recommendations for decreasing the number of repetitions and the amount of force involved with manual wheelchair propulsion; however, training on how to use a wheelchair, specifically propulsion training, is often not implemented during rehabilitation. Important steps in identifying strategies for teaching wheelchair propulsion and skills include exploring devices for training, understanding health care professional and wheelchair user perspectives of wheelchair training, and training based on motor learning approaches. Therefore, the overall goal of this project was to further explore methodology for training of new manual wheelchair users. To this end, we conducted three studies (Chapters 2-4). In study 1 (Chapter 2), we tested a wheelchair dynamometer roller system, the WheelMill System (WMS), on its use in simulating different surfaces (i.e., overground and ramps) and assessing propulsion variables that can be used for training new wheelchair users. We identified that the WMS has the ability to accurately simulate flat overground movement; however, the accuracy of the WMS was poor in simulation of ramps. Modifications to the software model and the addition of visual feedback may improve the accuracy of the simulation of ramps. The WMS was accurate in the quantification of biomechanical propulsion variables. In study 2 (Chapter 3), we identified perspectives of health care professionals and manual wheelchair users to assist in prioritizing the focus of wheelchair skills training of new manual wheelchair users. During focus groups, health care professionals and manual wheelchair users discussed if and how wheelchair propulsion biomechanics were taught and important skills that should be included in training. Results indicate that propulsion biomechanics were introduced but not addressed in detail. Important training components discussed include propulsion techniques, transfers in an out of the wheelchair, providing maintenance to the wheelchair, and navigating barriers such as curbs, ramps, and rough terrain. Health care professionals and manual wheelchair users identified many of the same skills as important but ranked them in a different order. In study 3 (Chapter 4), we piloted a wheelchair training program implementing aspects of motor learning for new manual wheelchair users and measured the impact of this program on wheelchair propulsion biomechanics and overall wheelchair skills. Post-training wheelchair biomechanics changed, as well as propulsion performance overground. Wheelchair skills did not change significantly post-training. Wheelchair training has the potential for change; however, there are many challenges associated with implementing training programs for new manual wheelchair users. Together, these results contribute knowledge to evidence-based approaches to teaching new manual wheelchair users with SCI how to efficiently and effectively use their wheelchairs. Specifically, we obtained information about technology for simulating and assessing manual wheelchair propulsion, perspectives of stakeholders with regard to the manual wheelchair training process, and methodology for training new manual wheelchair users

Improved Optimal and Approximate Power Graph Compression for Clearer Visualisation of Dense Graphs

Drawings of highly connected (dense) graphs can be very difficult to read. Power Graph Analysis offers an alternate way to draw a graph in which sets of nodes with common neighbours are shown grouped into modules. An edge connected to the module then implies a connection to each member of the module. Thus, the entire graph may be represented with much less clutter and without loss of detail. A recent experimental study has shown that such lossless compression of dense graphs makes it easier to follow paths. However, computing optimal power graphs is difficult. In this paper, we show that computing the optimal power-graph with only one module is NP-hard and therefore likely NP-hard in the general case. We give an ILP model for power graph computation and discuss why ILP and CP techniques are poorly suited to the problem. Instead, we are able to find optimal solutions much more quickly using a custom search method. We also show how to restrict this type of search to allow only limited back-tracking to provide a heuristic that has better speed and better results than previously known heuristics.Comment: Extended technical report accompanying the PacificVis 2013 paper of the same nam

Mathematics Yearbook 2021

The Deakin University Mathematics Yearbook publishes student reports and articles in all areas of mathematics with an aim of promoting interest and engagement in mathematics and celebrating student achievements. The 2021 edition includes 7 coursework articles, where students have extended upon submissions in their mathematics units, as well as 4 articles based on student research projects conducted throughout 2020 and 2021

Telemetry Fault-Detection Algorithms: Applications for Spacecraft Monitoring and Space Environment Sensing

Algorithms have been developed that identify unusual behavior in satellite health telemetry. Telemetry from solid-state power amplifiers and amplifier thermistors from 32 geostationary Earth orbit communications satellites from 1991 to 2015 are examined. Transient event detection and change-point event detection techniques that use a sliding window-based median are used, statistically evaluating the telemetry stream compared to the local norm. This approach allows application of the algorithms to any spacecraft platform because there is no reliance in the algorithms on satellite- or component-specific parameters, and it does not require a priori knowledge about the data distribution. Individual telemetry data streams are analyzed with the event detection algorithms, resulting in a compiled list of unusual events for each satellite. This approach identifies up to six events of up to six events that affect 51 of 53 telemetry streams at once, indicative of a spacecraft system-level event. In two satellites, the same top event date (4 December 2008) occurs over more than 10 years of telemetry from both satellites. Of the five spacecraft with known maneuvers, the algorithms identify the maneuvers in all cases. Event dates are compared to known operational activities, space weather events, and available anomaly lists to assess the use of event detection algorithms for spacecraft monitoring and sensing of the space environment.The authors would like to acknowledge the U.S. Air Force Office of Sponsored Research grant FA9550-13-1-0099 and NASA for funding this work through NASA Space Technology and Research Fellowship grant NNX16AM74H

DNA Fingerprinting

This project investigated the impact of the new technology of DNA fingerprinting on society, especially the legal system and database ethics. Our conclusions propose an expansion of DNA databases to include individuals convicted of any felony, not just violent crimes. The benefit to society of such DNA databases to identify unknown corpses, determine paternity, place a suspect at the scene of a crime, develop leads where otherwise there were none, and link crimes to identify serial criminals outweighs any privacy issues especially for convicted felons