Total Mass TCI driven by Parametric Estimation

• Tipo: Capítulo ou Parte de Livro
• Data: 2009

Autores

Margarida M Silva (Autor) Outra; Claudia Sousa (Autor) Outra; Raquel Sebastiao (Autor) Outra; Joao Gama (Autor) FEP; Teresa Mendonca (Autor) FCUP; Paula Rocha (Autor) Outra; Simao Esteves (Autor) Outra

Livro

Título: IEEE Xplore: Mediterranean Conference on Control and Automation

Páginas: 1149-1154

ISBN: ISBN 978-1-4244-4684-1

Indexação

ISI Proceedings

ISI Web of Knowledge - 11 Citações

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Engenharia electrotécnica, electrónica e informática

Outras Informações

ID Authenticus: P-003-RA6

DOI: 10.1109/med.2009.5164701

Abstract (EN): 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6