会议专题

Time course of etCO2 response to alterations in respiration rate predicted by a mathematical model of human gas exchange

A mathematical model of gas exchange is proposed to predict time course of end-tidal CO2 (etCO2) response to alterations in ventilation frequency. The model has been fit to experimental data of patients undergoing general anesthesia. The gas exchange model proposed by Chiari et al. has been extended by a variable dead space compartment (VD) to reduce differences in response amplitude. The dead space compartment represents the component of tidal volume that does not participate in gas exchange and changes size depending on ventilation frequency. Additionally, time course of CO2 response in the model has been fit to the measured data. Parameter identification has been conducted in three steps. First, metabolic production of CO2 has been determined to have the model reproduce the correct etCO2 at 12 breaths per minute and a dead space of 150ml. Then, parameters describing a hyperbolic dead space function have been identified so that etCO2 results of the model are close to the measured data. Finally, reaction time of the model was fit employing individual VD steps, so that the model shows the same time course to reach a new CO2 equilibrium as measured in the patients. Results show that employing a hyperbolic VD function leads to a good match of the measured etCO2 equilibrium levels. The model itself is not able to reproduce the same reaction time as measured in the patient, but when applying a multiplication factor to speed gas equilibrium, it is possible to match model time course with measured data.

Gas exchange mathematical modelling respiration frequency alteration medical decision support

Joern Kretschmer Knut Moeller

Institute for Technical Medicine (ITeM) Furtwangen University Villingen-Schwenningen, Germany

国际会议

2011 4th International Conference on Biomedical Engineering and Informatics(第四届生物医学工程与信息学国际会议 BMEI 2011)

上海

英文

1891-1894

2011-10-15(万方平台首次上网日期,不代表论文的发表时间)