Design of respiratory parameter estimator based on linear RCC model

Abstract

With the development of respiratory therapy, ventilator can enhance the treatment successful rate to the patients who suffered from the disease of respiratory system. In the using process of ventilator, patient's lung and tube condition varies with the change of morbid state, it's necessary to adjust the ventilating parameter, so it's indispensable to evaluate the lung and tube parameter. This thesis makes a design of ventilating parameter estimator, according to the pressure, flow, airway resistance, compliance, the RCC model is built and the Recursive Least Squares are used to estimate the patient's real-time airway resistance, lung compliance, tube compliance. Subsequently, according to the estimator's evaluation, the clinical engineer could adjust the ventilator's pressure support and compensate the rate of flow at the appropriate time. The experiment result shows that this RCC model could evaluate the respiratory parameters well and give support to the adaptive control of ventilator's pressure and flow for the purpose to enhance patient's ventilating comfort and decrease the respiratory disease.