DocumentCode :
2591790
Title :
Time course of etCO2 response to alterations in respiration rate predicted by a mathematical model of human gas exchange
Author :
Kretschmer, Joern ; Moeller, Knut
Author_Institution :
Inst. for Tech. Med. (ITeM), Furtwangen Univ., Villingen-Schwenningen, Germany
Volume :
4
fYear :
2011
fDate :
15-17 Oct. 2011
Firstpage :
1879
Lastpage :
1882
Abstract :
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 150 ml. 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.
Keywords :
carbon compounds; diseases; patient care; physiological models; pneumodynamics; end tidal carbon dioxde; etCO2 response time course; human gas exchange; hyperbolic dead space function; mathematical model; metabolic carbon dioxide production; parameter identification; respiration rate alterations; variable dead space compartment; ventilation frequency alterations; Adaptation models; Data models; Mathematical model; Time frequency analysis; Time measurement; Ventilation; Gas exchange; mathematical modelling; medical decision support; respiration frequency alteration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2011 4th International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9351-7
Type :
conf
DOI :
10.1109/BMEI.2011.6098751
Filename :
6098751
Link To Document :
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