Leveraging Model-Based Systems Engineering to Create Data Driven Exercise Routines for Optimizing Human Performance for Long-Duration Exploratory Spaceflight

Abstract

This paper conceptually develops a framework for the utilization of model-based systems engineering (MBSE) to create a data-driven approach for optimizing human performance in an individualized exercise regimen. This framework would be used to combat muscular and aerobic deconditioning caused by microgravity during a manned spaceflight mission to Mars. As current exercise mitigation efforts are effective for some, but not all individuals, a deeper understanding of the physiological and performance factors influencing the effectiveness of an individual’s exercise regimen must be attained. The proposed concept leverages use of commercial off-the-shelf (COTS) wearable devices during exercise to gather high-fidelity biometric and health data that could be used to baseline initial fitness level and inform progression or regression of fitness during the implementation of an exercise prescription. Data from individual wearables would be collated into a greater health picture and analyzed by the ground support team to objectively measure progress. This could enable astronaut health and performance to remain at acceptable levels throughout long-duration exploratory spaceflight and create future opportunities for progressing human performance in clinical settings.