Respiratory Mechanics Monitoring During Artificial Ventilation: Batch Algorithms and Their Accuracy

Many patients undergo long-term artificial ventilation and their respiratory system mechanics should be monitored to detect changes in the patient's state and to optimize ventilator settings. In this work the most popular algorithms for tracking the variations of respiratory resistance and elastance over a ventilatory cycle were analysed in terms of systematic and random errors. Additionally, a new algorithm was proposed and compared to the previous ones. The results of analyses showed the advantages of this new approach and enabled to form several suggestions concerning the respiratory mechanics monitoring during artificial ventilation.