Pulmonary Elastance Estimation Considering Periodicity and Perturbation of Respiration

In artificial respiration therapy, it is necessary to set up and manage the ventilation conditions appropriately, such as air pressure, inspiratory phase time, ventilation frequency, and ventilation volume. Each patient's respiratory system has different characteristics. It is desirable to set up ventilation conditions being suitable for each patient's characteristics from a viewpoint of safe and comfortable medical treatment. For this purpose, three types of respiratory models have been proposed by the authors, and the parameter estimation algorithms are given for each type of models. Based on our previous results of modeling and estimation of respiratory systems, in this paper, data averaging method, parameter averaging method and static P - V curve averaging method are introduced to reduce the effects of perturbation of breath, measurement noise and drift, and to improve the estimation accuracy of respiratory models.