Towards automating the pulmonary artery catheter: a canine validation study.
Towards automating the pulmonary artery catheter: a canine validation study.
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实现肺动脉导管自动化：一项犬验证研究。
DOI：
10.1109/iembs.2007.4352461
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发表时间：
2007
期刊：
影响因子：
--
通讯作者：
Mukkamala,Ramakrishna
中科院分区：
文献类型：
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作者：
Xu,Da;Olivier,NBari;Mukkamala,Ramakrishna
我们最近推出了一种独特的技术，可以通过肺动脉压(PAP)波形分析来自动估计心输出量(CO)和左房压(LAP)。在这篇文章中，我们回顾了这项技术，并针对金标准、但高度侵入性的参考主动脉血流探头CO和两只狗在不同药物干预期间的直接LAP导管测量进行了评估。我们报道，该技术在较宽的血流动力学范围内实现了15.3%的总体CO误差和17.1%的总体搭接误差。作为比较，经典的舒张期末PAP估计的总圈数误差大约是前者的三倍。随着进一步的成功测试，该技术最终可能被采用，从而有效地使肺动脉导管自动化。
We have recently introduced a unique technique to automatically estimate both cardiac output (CO) and left atrial pressure (LAP) by pulmonary artery pressure (PAP) waveform analysis. In this contribution, we review the technique and present its evaluation with respect to gold standard, but highly invasive, reference aortic flow probe CO and direct LAP catheter measurements from two dogs during various pharmacological interventions. We report that the technique achieved an overall CO error of 15.3% and an overall LAP error of 17.1% over a wide hemodynamic range. For comparison, the overall LAP error of classic end-diastolic PAP estimates was about three times as large. With further successful testing, the technique may ultimately be employed so as to effectively automate the pulmonary artery catheter.