Abstract
Pulmonary elastance provides an important basis for deciding air pressure parameters of mechanical ventilators, and airway resistance is an important parameter in the diagnosis of respiratory diseases. The authors have proposed two types of second order nonlinear differential equation model of respiratory system. In the first type of model, elastic coefficient is expressed as polynomial function of air-volume, while in the second type of model, elastic coefficient is expressed by RBF network. In this paper, the polynomial expression based model and the RBF network expression based model are compared firstly. Secondly, a unified estimation algorithm is derived based on numerical integration technique. According to the proposed algorithm, the pulmonary elastance and the airway resistance can be directly estimated from sampled measurement data of airway pressure, air-flow and air-volume. Then, the proposed algorithm is validated by some examples of application to practical clinical data.
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