减少喋喋不休的目标追踪滑动模式控制,用于程序内部的propofol控制.
Roberto Costa Ceccato1, José Roberto Castilho Piqueira1
1Department of Telecommunications and Control, Escola Politécnica da Universidade de São Paulo (EPUSP), Avenida Prof. Luciano Gualberto, travessa 3, n. 158, São Paulo, 05508-010, São Paulo, Brazil.
ISA transactions
|November 15, 2025
概括
这项研究引入了一种新的滑动模式控制 (SMC) 方法,用于在全身麻醉 (GA) 期间精确管理催眠深度 (DoH). 先进的控制策略有效地减少了麻醉相关的副作用,并确保了患者的安全.
科学领域:
- 麻醉学 麻醉学
- 控制工程 控制工程 控制工程
- 生物医学工程 生物医学工程
背景情况:
- 全身麻醉 (GA) 需要精确控制催眠深度 (DoH) 以确保患者的安全.
- 现有的控制策略可能会受到诸如聊天和缺乏稳定性等问题的影响.
- 精确的DoH监测和控制对于优化麻醉药物输送至关重要.
研究的目的:
- 开发和评估一个减少喋喋不休的滑动模式控制 (SMC) 策略,用于在GA期间自动化DoH调节.
- 通过尽量减少不受欢迎的控制系统振荡来提高麻醉的安全性和有效性.
- 在各种模拟的临床条件下评估控制器的性能.
主要方法:
- 设计了一个新的SMC策略,利用DoH作为可控变量和输液作为执行器.
- 采用线性模型近似和半导体函数来减轻控制信号中的喋喋不休.
- 采用基于追踪的方法来管理GA的诱导和维护阶段.
- 模拟包括患者特定的药理动力学/药理动力学参数和DoH监测器动态,有或没有噪音和疼痛刺激.
主要成果:
- 拟议的SMC战略有效地消除了高频聊天.
- 在模拟中表现出强大的性能,包括外部干扰 (噪音,疼痛刺激) 的场景.
- 在模拟的GA诱导和维护阶段,控制器准确地跟踪了所需的DoH水平.
结论:
- 减少喋喋不休的SMC策略为临床环境中可靠的自动化DoH控制提供了一个有希望的方法.
- 该方法的稳定性和缺乏喋喋不休,表明改善了患者安全和麻醉管理.
- 这种控制技术有可能在全身麻醉中应用到现实世界.
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