Model Identification in Exercise Physiology

Model identification for respiratory control during exercise motivates a modeling perspective concerning input design, structure identification and statistical justification. From this perspective, a functional model is proposed and initially tested in two "quiet breathers" and two "noisy breathers" using a pulse input in cycle ergometer work-rate. The results indicate that an input design that yields a higher signal to noise ratio is needed to justify the model in the "noisy breathers." Implications for alternative input designs are discussed.