Why the study?
Considerable inter-subject variation and model complexity make accurate parameter assignment challenging when computationally modeling cardiovascular responses to altered gravitational environments.
Sensitivity analysis helps identify the most influential parameters in computational models of cardiovascular response to gravitational stress, improving individual predictions.
Prioritizes parameters for refined cardiovascular modeling under gravitational stress; leaves open clinical translation pending human validation.
Computational modeling is used to predict cardiovascular responses to altered gravitational environments. However, considerable variation between subjects and model complexity makes accurate parameter assignment for individuals challenging. This computational effort studies sensitivity in cardiovascular model outcomes due to varying parameters across a normal physiological range. This allows determination of which parameters have the largest influence on outcomes, i.e., which parameters must be most carefully selected to give accurate predictions of individual responses.
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Whittle et al. (2021) studied this question.
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