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open access

Viability Study of Nylon-12 Carbon Fiber Filaments for Use in the Construction of a Powered Lower Body Exoskeleton via Fused Deposition Modeling by Means of Computer Simulation

Description: Members of the elderly population is disproportionately prone to experiencing mobility impairment due to their aging bodies and as a result have frail bodies that are at a higher risk of grave injury due to falling. In order to combat this assistive mobility devices such as exoskeletons have been developed to help patients enhance their range of motion. With additive manufacturing techniques, such as fused deposition modeling (FDM), becoming a more mainstream form of design, the inclusion of li… more
Date: May 2021
Creator: Joiner, Michael Andrew Lown
Partner: UNT Libraries
open access

In Vitro Electrochemical Evaluation of Bioelectronic Arrays

Description: In this paper, I sought to identify and develop a protocol on electrode arrays as a result of rapid aging by applying rapid current over time. We, however, apply a different approach by using phosphate buffer solution (PBS) to mimic the conditions of the body. Here we have established an in vitro protocol for accelerated aging, a process that involves testing in extreme conditions such as oxygen, heat, sunlight, humidity, and vibration aimed at speeding the normal aging process of items; on com… more
Date: December 2021
Creator: Singh, Sukhpreet
Partner: UNT Libraries
open access

Effects of Attachment Height and Rail Material of Resistance Training Sled on Trunk Lean and Jerk During Linear Acceleration Training

Description: Sprint acceleration training has been highly researched and found that resistance sleds are one of the most effective tools for maximizing training adaptations. The resistance sled is being used by many of the world leaders in athletic training but has yet to be researched for the kinetic and kinematic effects some of its key components cause. The aim of this study was to better understand the effects of the attachment height on the sled and sled rail material on the user's trunk lean and jerki… more
Date: May 2021
Creator: Fitzgerald, Sean
Partner: UNT Libraries
open access

Bio-Inspired Designs to Reduce Human-Exoskeleton Interaction to Prevent Falls in an Aging Population

Description: As a large generation ages, the collective financial and ethical responsibility to prevent egregious bodily harm through fall prevention and gait assistant exoskeleton devices increases. Risk for falls increases with age and the severity of the fall does as well. To support this elderly population, motorized exoskeletons can both increase stability as well as respond faster to fall scenarios, but current models do not more around the existing biological framework. Giving participants a range of… more
Date: August 2021
Creator: Gates, Edward Sean
Partner: UNT Libraries
open access

Parkinson's Disease and UPDRS-III Prediction Using Quiet Standing Data and Applied Machine Learning

Description: Parkinson's disease (PD) is a neurodegenerative disease that affects motor abilities with increasing severity as the disease progresses. Traditional methods for diagnosing PD require specialists scoring qualitative symptoms using the motor subscale of the Unified Parkinson's Disease Rating Scale (UPDRS-III). Using force-plate data during quiet standing (QS), this study uses machine learning to target the characterization and prediction of PD and UPDRS-III. The purpose of predicting different… more
Date: May 2021
Creator: Exley, Trevor Wayne
Partner: UNT Libraries
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