Characterizing the role of exogenous ketones during rest and exercise in male varsity athletes.

A. Russell Tupling Primary investigator (PI), Riley Sonnenburg

Within rodent heart, exogenous ketones and glucose have been shown to increase mechanical efficiency and reduce oxygen consumption when compared to glucose alone. The aim of this study is to determine if exogenous ketones can improve mechanical efficiency within human subjects during an exercise protocol and to characterize the endocrine and energy substrate response to exercise following the ingestion of exogenous ketones.

Designing a wearable band for symptom tracking of individuals living with multiple sclerosis (MS).

James Tung

The purpose of this study is to design and test a wearable device which automates the collection of real time symptom data from individuals with MS. The immediate goal is to validate this data and investigate its utility to inform patients, neurologists, and caregivers of behavioral patterns contributing to symptom onset and severity. The long-term goal of this project is to advance technologies to support healthy lifestyles for these individuals with MS.

Gait algorithms project: Gait profiles and moment to moment changes in dual task gait.

Bill McIlroy (PI), Anton Trinh, Jamie Waugh

To develop and validate gait analysis algorithms for step detection under various activities (e.g. overground walking, treadmill, transitions, stairs), walking conditions (self paced, slow, fast, dual task, max), and conditions (e.g. individuals using gait aids, or demonstrating pathological gait such as those living with neurological or musculoskeletal injury). Using body worn accelerometers, we compare collected data against gold standard spatio-temporal gait parameters.

Exploring Factors that Contribute to Between-subject Variability of Reaction Time

Bill McIlroy (PI), Robin Duncan (PI), Brian Tan

The overarching goal of this work is to better understand and characterize the nature of between-subject variability and the biological markers that may predict individual reaction time performance. While the majority of the literature report on the central tendency of reaction times, this work will explore the reliability and generalizability of both central tendency and dispersion measures in reaction time. Potential genetic associations with reaction time will be explored as possible biological markers predictive of performance.