Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/71245
Author(s): Margarida M Silva
Claudia Sousa
Raquel Sebastiao
Joao Gama
Teresa Mendonca
Paula Rocha
Simao Esteves
Title: Total Mass TCI driven by Parametric Estimation
Issue Date: 2009
Abstract: This paper presents the Total Mass Target Controlled Infusion algorithm. The system comprises an On Line tuned Algorithm for Recovery Detection (OLARD) after an initial bolus administration and a Bayesian identification method for parametric estimation based on sparse measurements of the accessible signal. To design the drug dosage profile, two algorithms are here proposed. During the transient phase, an Input Variance Control (IVC) algorithm is used. It is based on the concept of TCI and aims to steer the drug effect to a predefined target value within an a priori fixed interval of time. After the steady state phase is reached the drug dose regimen is controlled by a Total Mass Control (TMC) algorithm. The mass control law for compartmental systems is robust even in the presence of parameter uncertainties. The whole system feasibility has been evaluated for the case of Neuromuscular Blockade (NMB) level and was tested both in simulation and in real cases.
Subject: Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electronic engineering, Information engineering
Scientific areas: Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática
Engineering and technology::Electrical engineering, Electronic engineering, Information engineering
URI: https://repositorio-aberto.up.pt/handle/10216/71245
Source: IEEE Xplore: Mediterranean Conference on Control and Automation
Document Type: Capítulo ou Parte de Livro
Rights: openAccess
License: https://creativecommons.org/licenses/by-nc/4.0/
Appears in Collections:FCUP - Capítulo ou Parte de Livro
FEP - Capítulo ou Parte de Livro

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