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In silico evaluation of gas transfer estimation during extracorporeal membrane oxygenation

机译:在体外膜氧气中的气体转移估计中的硅转移估计中

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The application of extracorporeal membrane oxygenation can prevent hypoxia and the inherent danger of death, if despite artificial ventilation maintaining physiological gas exchange is barely possible. In doing so, an oxygenator enables supplemental blood oxygenation and decarboxylation. The automation of this extracorporeal therapy is in the focus of current research. However, only complex and slow blood gas analyzers are available as measurement systems so far. This paper presents the in silico evaluation of an extended Kalman filter, which estimates the gas transfer across the membrane without using a blood gas analyzer. The filter is based on an evaluated grey box model of the extracorporeal circulation, which has been extended with additional measurements in the gas phase. This application is enabled by using standard anesthetic gas monitors at the in- and outlet of the gas phase of the oxygenator, which measure the oxygen and carbon dioxide fractions. These systems are accurate, easily applicable with inexpensive and few standard disposables and mainly limited by a time delay of 5 s. The results suggest that the estimation is possible with sufficient performance concerning the clinical application and this can be used in future automation applications.
机译:体外膜肺氧合的应用程序可以防止缺氧而死亡的潜在危险,如果尽管人工通气维持生理气体交换几乎是不可能。在此过程中,充氧器能够补充血氧和脱羧。这体外治疗的自动化是当前研究的重点。然而,只有复杂和缓慢的血液气体分析仪可作为测量系统至今。本文提出一种扩展的卡尔曼滤波器,其估计穿过膜的气体传递而不使用血气分析仪的在计算机芯片上的评价。该过滤器是基于体外循环,已经扩展了在气相中的附加测量的评价灰色盒模型。本申请通过使用标准麻醉气体监视器在充氧的气相,其测量氧气和二氧化碳的级分的入口和出口启用。这些系统是准确的,容易地应用于用廉价和少量的标准耗材,主要是由5秒的时间延迟的限制。结果表明,估计是可能涉及足够的性能的临床应用,并能在未来的自动化应用中使用。

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