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Control of rocuronium-induced neuromuscular blockade via online identification of a two-parameters Wiener model

机译:通过在线识别双参数维纳模型的控制控制rocuronium诱导的神经肌梗阻

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A closed-loop controller for rocuronium-induced neuromuscular blockade using the first twitch of a train-of-four electromyographic stimulation as the measured signal is presented. Central to this development is the use of a two-parameters Wiener model, previously proposed to atracurium. The controller includes recursive parameters identification by an EKF, inversion of the nonlinearity using the current nonlinear parameter estimate and a pole placement controller for the exactly linearized system. Numerical tests on the performance of this adaptive structure were carried out on a bank of 500 simulated standard PK/PD models. The developed controller steers the neuromuscular blockade to a desired reference, tracking a constant or varying profile. It is also able to deal with parameter-varying systems and works well in noisy scenarios. These capabilities are crucial when testing this structure in a real clinical environment.
机译:提出了一种闭环控制器,用于呈rOcuronium诱导的神经肌肉封闭,其使用四个电拍摄的电焦刺激作为测量信号的第一抽搐。此开发的核心是使用先前向Atracurium提出的双参数维纳模型。控制器包括EKF的递归参数识别,使用当前非线性参数估计和用于准确线性化系统的极点放置控制器的非线性的反转。对该自适应结构性能的数值测试在500个模拟标准PK / PD模型的银行进行。开发的控制器使神经肌肉封锁赋予所需的参考,跟踪恒定或不同的轮廓。它还能够处理参数变化的系统,并在嘈杂的场景中运行。在真正的临床环境中测试这种结构时,这些能力至关重要。

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