Total Mass TCI driven by Parametric Estimation

• Type: Chapter or Part of a Book
• Date: 2009

Authors

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

Book

Title: IEEE Xplore: Mediterranean Conference on Control and Automation

Pages: 1149-1154

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

Indexing

ISI Proceedings

ISI Web of Knowledge - 11 Citations

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6