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[外科手术干预领域的血压控制]

[Blood pressure control in the area of surgical interventions].

作者信息

Simanski Olaf, Janda Matthias, Bajorat Jörn, Nguyen Ngon C, Hofmockel Rainer, Lampe Bernhard P

机构信息

Institut für Automatisierungstechnik, Fakultät für Informatik und Elektrotechnik, Universität Rostock, Rostock, Deutschland.

出版信息

Biomed Tech (Berl). 2009 Oct;54(5):299-306. doi: 10.1515/BMT.2009.033.

Abstract

For specific surgical interventions, such as aortic stent implantation, it might be temporarily necessary to decrease mean arterial pressure to rather low levels (around 40 mm Hg). Such hypotensive pressure levels are necessary to avoid intra- and postoperative intricacies. Traditionally, the drug Nitroprussidnatrium is used for this task. To adjust the correct amount of drug to reach the target pressure as fast as possible and without overshoot, the anaesthetists typically use empirical knowledge and might need several minutes until the target point is reached. In our research group, an adaptive control system was developed for this task which is able to compute and set the transient drug release automatically. For the design and testing of the adaptive control strategy, the well known Guyton model was implemented into the MATLAB/Simulink development environment. This paper describes the implementation and adaption of the Guyton model to hypotensive pressure control and provides some algorithmic details of the adaptive control strategy for automatic drug delivery in deep hypotension. The designed control system was successfully validated in animal trials (25 trials on 7 pigs). Following this, an additional controller component for increase of blood pressure with the help of the drug Noradrenalin was implemented. It is now possible to increase blood pressure to a specific value to save defined cerebral perfusion pressure for patients with craniocerebral injury. In a second pilot trial, this controller extension was tested in 10 pigs.

摘要

对于特定的外科手术干预,如主动脉支架植入,可能暂时需要将平均动脉压降至相当低的水平(约40毫米汞柱)。这种低血压水平对于避免术中及术后的并发症是必要的。传统上,硝普钠用于此任务。为了尽快调整正确的药物剂量以达到目标压力且不出现超调,麻醉师通常使用经验知识,可能需要几分钟才能达到目标点。在我们的研究小组中,为此任务开发了一种自适应控制系统,该系统能够自动计算并设置瞬态药物释放量。为了设计和测试自适应控制策略,将著名的盖顿模型在MATLAB/Simulink开发环境中实现。本文描述了盖顿模型在低血压控制中的实现和适配,并提供了在深度低血压时自动给药的自适应控制策略的一些算法细节。所设计的控制系统在动物试验中(对7头猪进行了25次试验)成功得到验证。在此之后,增加了一个借助去甲肾上腺素药物升高血压的控制器组件。现在可以将血压升高到特定值,为颅脑损伤患者维持规定的脑灌注压。在第二项试点试验中,对10头猪测试了该控制器扩展。

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