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A CONTINUOUSLY UPDATED HYBRID BLOOD GAS MODEL FOR VENTILATED PATIENTS

机译:连续更新的通气患者混合血气模型

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摘要

SOPAVent (Simulation of Patients under Artificial Ventilation) is a blood gas model for ventilated patients in intensive care units. In this paper, a continuously updated blood gas model based on SOPAVent is developed and extended to simulate patients' states from a stable to an unstable status. The changes in the patient's physiological state are simulated by updating the shunt and relative dead space in the patient model. The model was validated against blood gas measurements from real patients during a 7-hour period and with changes to the ventilator settings. Results show that, with a selector based on a time criterion, the autonomous model can represent the real patient with a changing physiological state and give good blood gas predictions.
机译:SOPAVent(模拟人工通气患者)是重症监护病房中通气患者的血气模型。在本文中,建立并扩展了基于SOPAVent的持续更新的血气模型,以模拟患者从稳定状态到不稳定状态的状态。通过更新患者模型中的分流和相对死腔,可以模拟患者生理状态的变化。该模型针对真实患者在7小时内进行的血气测量以及呼吸机设置的变化进行了验证。结果表明,使用基于时间标准的选择器,自主模型可以代表具有变化的生理状态的真实患者并给出良好的血气预测。

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