Abstract
COPD is an inflammatory lung disease affecting millions of people around the globe. The occasional worsening of the disease, termed exacerbation, reduces the quality of life and causes a substantial economic burden. For efficient management of exacerbations, it is desirable to be able to predict their onset before the condition worsens. Recently, Ghadipasha et al. (in prep.) developed a mathematical model of the cardio-respiratory system, which is expected to help identify trends in patient vitals that indicate the onset of exacerbations. In this paper, we modify the model to account for the changes due to metabolic rates based on physiological data. Simulation results indicate that the differences between healthy individuals and COPD patients may be more pronounced at higher activity levels compared with that at rest.
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