Pulmonary elastance estimation considering respiratory periodicity

To perform artificial respiration safely and comfortably, it is necessary to get the information on characteristics of patient respiratory system timely, and to set the ventilation conditions fitted to each patient under the information. Based on our earlier works on modeling and estimation of respiratory system, in this paper, data averaging method, parameter averaging method and elastance averaging method are introduced to reduce the effects of measurement noise, drift and perturbation of breath, and to improve the estimation accuracy of pulmonary elastance.