首页> 外文会议>2011 4th International Conference on Biomedical Engineering and Informatics >Time course of etCO2 response to alterations in respiration rate predicted by a mathematical model of human gas exchange
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Time course of etCO2 response to alterations in respiration rate predicted by a mathematical model of human gas exchange

机译:由人类气体交换数学模型预测的etCO 2 对呼吸频率变化的响应的时程

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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.
机译:提出了一种气体交换数学模型,以预测潮气末CO 2 (etCO 2 )对通风频率变化的响应。该模型已适合接受全身麻醉的患者的实验数据。 Chiari等人提出的气体交换模型。通过可变死区隔室(V D )进行了扩展,以减小响应幅度的差异。死角舱代表潮气量的组成部分,它不参与气体交换,并且会根据通风频率而改变大小。此外,模型中CO 2 响应的时程已与测量数据拟合。参数识别已分三个步骤进行。首先,已确定CO 2 的代谢产生,以使模型以每分钟12次呼吸和150 ml的死腔重现正确的etCO 2 。然后,确定了描述双曲线死空间函数的参数,以使模型的etCO 2 结果与实测数据接近。最后,通过单独的V D 步骤拟合模型的反应时间,以使模型显示出达到患者新的CO 2 平衡的相同时间过程。结果表明,采用双曲线V D 函数可以使测得的etCO 2 平衡水平很好地匹配。该模型本身无法再现与患者所测得的相同的反应时间,但是当应用乘法因子来加速气体平衡时,就有可能使模型时程与所测得的数据相匹配。

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