• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

麻醉深度催眠的优化 PID 控制。

Optimized PID control of depth of hypnosis in anesthesia.

机构信息

Department of Mathematics and Statistics, Curtin University, Australia.

Department of Electrical Energy, Metals, Mechanical Constructions and Systems, Ghent University, Belgium.

出版信息

Comput Methods Programs Biomed. 2017 Jun;144:21-35. doi: 10.1016/j.cmpb.2017.03.013. Epub 2017 Mar 18.

DOI:10.1016/j.cmpb.2017.03.013
PMID:28495004
Abstract

BACKGROUND AND OBJECTIVE

This paper addresses the use of proportional-integral-derivative controllers for regulating the depth of hypnosis in anesthesia by using propofol administration and the bispectral index as a controlled variable. In fact, introducing an automatic control system might provide significant benefits for the patient in reducing the risk for under- and over-dosing.

METHODS

In this study, the controller parameters are obtained through genetic algorithms by solving a min-max optimization problem. A set of 12 patient models representative of a large population variance is used to test controller robustness. The worst-case performance in the considered population is minimized considering two different scenarios: the induction case and the maintenance case.

RESULTS

Our results indicate that including a gain scheduling strategy enables optimal performance for induction and maintenance phases, separately. Using a single tuning to address both tasks may results in a loss of performance up to 102% in the induction phase and up to 31% in the maintenance phase. Further on, it is shown that a suitably designed low-pass filter on the controller output can handle the trade-off between the performance and the noise effect in the control variable.

CONCLUSIONS

Optimally tuned PID controllers provide a fast induction time with an acceptable overshoot and a satisfactory disturbance rejection performance during maintenance. These features make them a very good tool for comparison when other control algorithms are developed.

摘要

背景与目的

本文探讨了使用比例-积分-微分控制器通过丙泊酚给药和双谱指数作为控制变量来调节麻醉深度。事实上,引入自动控制系统可能会为患者带来显著的益处,降低用药不足和过量的风险。

方法

在这项研究中,通过求解最小-最大优化问题,使用遗传算法获得控制器参数。使用一组代表较大人群变异性的 12 个患者模型来测试控制器的鲁棒性。考虑两种不同情况:诱导阶段和维持阶段,将考虑范围内最差性能最小化。

结果

我们的结果表明,包含增益调度策略可分别实现诱导和维持阶段的最佳性能。使用单一调谐来解决这两个任务可能会导致诱导阶段性能损失高达 102%,维持阶段性能损失高达 31%。此外,还表明控制器输出上的适当设计的低通滤波器可以在控制变量的性能和噪声影响之间进行权衡。

结论

优化后的 PID 控制器在维持阶段提供了快速的诱导时间,具有可接受的过冲和令人满意的抗扰性能。这些特性使它们成为开发其他控制算法时进行比较的非常好的工具。

相似文献

1
Optimized PID control of depth of hypnosis in anesthesia.麻醉深度催眠的优化 PID 控制。
Comput Methods Programs Biomed. 2017 Jun;144:21-35. doi: 10.1016/j.cmpb.2017.03.013. Epub 2017 Mar 18.
2
Event-Based control of depth of hypnosis in anesthesia.麻醉中基于事件的催眠深度控制。
Comput Methods Programs Biomed. 2017 Aug;147:63-83. doi: 10.1016/j.cmpb.2017.06.007. Epub 2017 Jun 23.
3
Robust PID control of propofol anaesthesia: Uncertainty limits performance, not PID structure.丙泊酚麻醉的鲁棒PID控制:不确定性限制性能,而非PID结构。
Comput Methods Programs Biomed. 2021 Jan;198:105783. doi: 10.1016/j.cmpb.2020.105783. Epub 2020 Oct 5.
4
Reinforcement learning versus proportional-integral-derivative control of hypnosis in a simulated intraoperative patient.强化学习与比例积分微分控制在模拟术中患者催眠中的比较。
Anesth Analg. 2011 Feb;112(2):350-9. doi: 10.1213/ANE.0b013e318202cb7c. Epub 2010 Dec 14.
5
[Regulation of hypnosis in Propofol anesthesia administration based on non-linear control strategy].基于非线性控制策略的丙泊酚麻醉给药中催眠的调控
Rev Bras Anestesiol. 2017 Mar-Apr;67(2):122-130. doi: 10.1016/j.bjan.2016.12.005. Epub 2016 Dec 28.
6
Adaptive fuzzy modeling of the hypnotic process in anesthesia.麻醉中催眠过程的自适应模糊建模
J Clin Monit Comput. 2017 Apr;31(2):319-330. doi: 10.1007/s10877-016-9868-y. Epub 2016 Apr 12.
7
Regulation of hypnosis in Propofol anesthesia administration based on non-linear control strategy.基于非线性控制策略的丙泊酚麻醉给药中催眠的调控
Braz J Anesthesiol. 2017 Mar-Apr;67(2):122-130. doi: 10.1016/j.bjane.2015.08.011. Epub 2016 May 11.
8
Disturbance-rejection-based tuning of proportional-integral-derivative controllers by exploiting closed-loop plant data.基于干扰抑制的比例积分微分控制器整定:利用闭环对象数据
ISA Trans. 2016 May;62:312-24. doi: 10.1016/j.isatra.2016.02.011. Epub 2016 Feb 24.
9
Robust predictive control strategy applied for propofol dosing using BIS as a controlled variable during anesthesia.在麻醉期间,稳健预测控制策略应用于以脑电双频指数(BIS)作为控制变量的丙泊酚给药。
IEEE Trans Biomed Eng. 2008 Sep;55(9):2161-70. doi: 10.1109/TBME.2008.923142.
10
Positive state observer for the automatic control of the depth of anesthesia-Clinical results.正态观测器在麻醉深度自动控制中的应用-临床结果。
Comput Methods Programs Biomed. 2019 Apr;171:99-108. doi: 10.1016/j.cmpb.2016.08.019. Epub 2016 Sep 13.

引用本文的文献

1
A system theory based digital model for predicting the cumulative fluid balance course in intensive care patients.一种基于系统理论的数字模型,用于预测重症监护患者的累积液体平衡过程。
Front Physiol. 2023 Apr 13;14:1101966. doi: 10.3389/fphys.2023.1101966. eCollection 2023.
2
Feasibility of intelligent drug control in the maintenance phase of general anesthesia based on convolutional neural network.基于卷积神经网络的全身麻醉维持期智能药物控制可行性研究
Heliyon. 2022 Dec 26;9(1):e12481. doi: 10.1016/j.heliyon.2022.e12481. eCollection 2023 Jan.
3
Improved Individualized Patient-Oriented Depth-of-Hypnosis Measurement Based on Bispectral Index.
基于脑电双频指数的改良个体化患者导向催眠深度测量
Sensors (Basel). 2022 Dec 27;23(1):293. doi: 10.3390/s23010293.
4
Control strategy with multivariable fault tolerance module for automatic intravenous anesthesia.具有多变量容错模块的自动静脉麻醉控制策略
Biomed Eng Lett. 2020 Aug 16;10(4):555-578. doi: 10.1007/s13534-020-00169-2. eCollection 2020 Nov.
5
Pain Detection with Bioimpedance Methodology from 3-Dimensional Exploration of Nociception in a Postoperative Observational Trial.在一项术后观察性试验中,通过生物阻抗方法从三维痛觉探索中检测疼痛
J Clin Med. 2020 Mar 4;9(3):684. doi: 10.3390/jcm9030684.
6
Adaptive smith predictor controller for total intravenous anesthesia automation.用于全凭静脉麻醉自动化的自适应史密斯预估器控制器
Biomed Eng Lett. 2018 Dec 11;9(1):127-144. doi: 10.1007/s13534-018-0090-3. eCollection 2019 Feb.