Presentation
Leveraging Model-Based Systems Engineering to Create Data-Driven Exercise Routines for Optimizing Human Performance for Long Duration Exploratory Space Flight
SessionPoster Session 1
DescriptionThe goal of this paper was to conceptually develop a framework for the utilization of model-based systems engineering (MBSE) to create a data-driven approach for optimizing human performance throughout an individualized exercise regimen. This would be used to combat deconditioning caused by microgravity during a manned spaceflight mission to Mars. Throughout a Mars mission, astronauts will need to maintain a specified level of muscular and cardiovascular fitness to perform spaceflight tasks, emergency egress procedures, and general functions before, during, and after mission. One of the most integral lines of effort for preventing muscular and cardiovascular deconditioning is exercise. As current exercise mitigation efforts are effective for some, but not all individuals, a deeper understanding of the physiological and performance factors influencing an individual’s exercise effectiveness must be attained. The proposed framework would leverage non-invasive use of wearable devices during exercise to provide high-fidelity, objective biometric and health data for measuring and informing progression or regression of fitness levels during the implementation of an exercise program. Integrating medical-grade commercial off-the-shelf (COTS) wearable device data into the human-exercise system would facilitate personalized, objective exercise mitigation practices to ensure every astronaut’s health and performance remain at acceptable levels throughout long-duration exploratory spaceflight.
Contributor
Event Type
Poster
TimeTuesday, October 14th5:30pm - 6:30pm CDT
LocationRiverside East
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