Physical Sciences and Mathematics Commons^™

Ecu-Ioht, Mohiuddin Ahmed, Surender Byreddy, Anush Nutakki, Leslie F. Sikos, Paul Haskell-Dowland

Research Datasets

In recent times, cyberattacks on Internet of Health Things (IoHT) have continuously been growing, and so it is important to develop robust countermeasures. However, there is a lack of publicly available datasets reflecting cyberattacks on IoHT, mainly due to privacy concerns. To strengthen the cyber security of IoHT, we have developed the dataset, named ECU-IoHT, that is built upon an IoHT environment having different attacks performed that exploit various vulnerabilities. This dataset was designed to help the healthcare security community in analyzing attack behaviour and developing robust countermeasures. To the best of our knowledge, no other publicly available datasets have …

Investigating The Influence Of Environmental Factors On The Incidence Of Renal Disease With Compositional Data Analysis Using Balances, Jennifer M. Mckinley, Ute Mueller, Peter M. Atkinson, Ulrich Ofterdinger, Chloe Jackson, Siobhan F. Cox, Rory Doherty, Damian Fogarty, J. J. Egozcue, V. Pawlowsky-Glahn

Research outputs 2014 to 2021

This research uses an urban soil geochemistry database of elemental concentration to examine the potential relationship between Standardised Incidence Rates (SIRs) of Chronic Kidney Disease (CKD) of uncertain aetiology (CKDu), and cumulative low level geogenic and diffuse anthropogenic contamination of soils with PTEs. A compositional data analysis approach was applied to determine the elemental balance(s) of the geochemical data showing the greatest association with CKDu. The research concludes that both anthropogenic and geogenic factors may be contributing influences to explain high incidences of CKDu, up to 12 times greater in some Super Output Areas (SOAs) than would be expected for …

Automated Smart Home Assessment To Support Pain Management: Multiple Methods Analysis, Roschelle L. Fritz, Marian Wilson, Gordana Dermody, Maureen Schmitter-Edgecombe, Diane J. Cook

Research outputs 2014 to 2021

©Roschelle L Fritz, Marian Wilson, Gordana Dermody, Maureen Schmitter-Edgecombe, Diane J Cook. Objective: This study aimed to determine if a smart home can detect pain-related behaviors to perform automated assessment and support intervention for persons with chronic pain.Background: Poorly managed pain can lead to substance use disorders, depression, suicide, worsening health, and increased use of health services. Most pain assessments occur in clinical settings away from patients’ natural environments. Advances in smart home technology may allow observation of pain in the home setting. Smart homes recognizing human behaviors may be useful for quantifying functional pain interference, thereby creating new ways …

Interpreting Health Events In Big Data Using Qualitative Traditions, Roschelle L. Fritz, Gordana Dermody

Research outputs 2014 to 2021

© The Author(s) 2020. The training of artificial intelligence requires integrating real-world context and mathematical computations. To achieve efficacious smart health artificial intelligence, contextual clinical knowledge serving as ground truth is required. Qualitative methods are well-suited to lend consistent and valid ground truth. In this methods article, we illustrate the use of qualitative descriptive methods for providing ground truth when training an intelligent agent to detect Restless Leg Syndrome. We show how one interdisciplinary, inter-methodological research team used both sensor-based data and the participant’s description of their experience with an episode of Restless Leg Syndrome for training the intelligent agent. …

Improving Firefighter Tenability During Entrapment And Burnover: An Analysis Of Vehicle Protection Systems, Greg Penney, Daryoush Habibi, Marcus Cattani

Research outputs 2014 to 2021

When attempting to suppress severe wildfire the possibility for firefighting crews to be overrun by wildfire, known as entrapment and burnover, remains a catastrophic and all too common occurrence. While improvements have been made to vehicle protection systems to increase the safety of firefighters caught in burnover, the potential effectiveness of these systems remains limited. This study involved systematic analysis of 62 historical entrapment and burnover reports from the USA, Australian and New Zealand from 1978 to 2020 (Phase 1), and 135 simulated wildfires encompassing the 99th percentile of Australian fire weather conditions, fuel structures and terrain (Phase 2). Analysis …

Contemporary Epidemiology Of Rising Atrial Septal Defect Trends Across Usa 1991–2016: A Combined Ecological Geospatiotemporal And Causal Inferential Study, Albert Stuart Reece, Gary Kenneth Hulse

Research outputs 2014 to 2021

© 2020, The Author(s). Background: Cardiovascular anomalies are the largest group of congenital anomalies and the major cause of death in young children, with various data linking rising atrial septal defect incidence (ASDI) with prenatal cannabis exposure. Objectives / Hypotheses. Is cannabis associated with ASDI in USA? Is this relationship causal? Methods: Geospatiotemporal cohort study, 1991–2016. Census populations of adults, babies, congenital anomalies, income and ethnicity. Drug exposure data on cigarettes, alcohol abuse, past month cannabis use, analgesia abuse and cocaine taken from National Survey of Drug Use and Health (78.9% response rate). Cannabinoid concentrations from Drug Enforcement Agency. Inverse …

Determining Ground-Level Composition And Concentration Of Particulate Matter Across Regional Areas Using The Himawari-8 Satellite, Miles Sowden

Theses: Doctorates and Masters

Speciated ground-level aerosol concentrations are required to understand and mitigate health impacts from dust storms, wildfires and other aerosol emissions. Globally, surface monitoring is limited due to cost and infrastructure demands. While remote sensing can help estimate respirable (i.e. ground level) concentrations, current observations are restricted by inadequate spatiotemporal resolution, uncertainty in aerosol type, particle size, and vertical profile. One key issue with current remote sensing datasets is that they are derived from reflectances observed by polar orbiting imagers, which means that aerosol is only derived during the daytime, and only once or twice per day.

Sub-hourly, infrared (IR), geostationary …