Using Fuzzy Logic to Adjust Plasma Concentration Based on a Two-Compartment Pharmacokinetic Model

Lei Zhao; Xin Ling Shi; Yu Feng  Zhang; Ya Jie Liu

doi:10.4028/www.scientific.net/AMM.341-342.1171

Paper Titles

A Study on Reconstructing Temperature Field
p.1150

Design of Semi Physical Simulation Platform for Autonomous Underwater Vehicle
p.1155

A Region Localization Algorithm Based on Anchors within Two Hops for Wireless Sensor Networks
p.1162

Images of High Density Resistivity Method in Leakage Detecting of the Watertight Screen at Gushan Open-Pit Mine
p.1167

Using Fuzzy Logic to Adjust Plasma Concentration Based on a Two-Compartment Pharmacokinetic Model
p.1171

Development of Wireless Sensor Network Based on ZigBee and RFID Technology
p.1175

Research of Hybrid Mobile Agent Routing in Wireless Sensor Network
p.1181

Probabilistic Transmitting-Based Data Aggregation Scheme for Wireless Sensor Networks
p.1187

An Approach to Estimating Acceleration Information for Longitudinal Control
p.1191

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 341-342Using Fuzzy Logic to Adjust Plasma Concentration...

Using Fuzzy Logic to Adjust Plasma Concentration Based on a Two-Compartment Pharmacokinetic Model

Abstract:

In this paper, a closed-loop control system was developed using fuzzy logic to adapt the parameters of a pharmacokinetic (PK) model. The system is based on a two-compartment PK model with first-order rate process of oral administration. The fuzzy logic adaptation scheme uses the error and the change in error as the input variables. The output variable of the fuzzy controller is the scaling factor to adjust the PK parameter. The fuzzy controller adjusted the real situation concentration to the reference value derived from the parameters of population mean data according to the established rule-base. The simulation results show that the controller provides good performance to adjust the concentration with the reference values.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 341-342)

Pages:

1171-1174

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.341-342.1171

Citation:

Cite this paper

Online since:

July 2013

Authors:

Lei Zhao, Xin Ling Shi, Yu Feng Zhang, Ya Jie Liu

Keywords:

Fuzzy Controller, Fuzzy Logic, Parameter Adaption, Pharmacokinetic Model

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] A. Torres and J.J. Nieto, Fuzzy Logic in Medicine and Bioinformatics, J. Biomed. Biotechnol, 2006 (2006) 1-7.

Google Scholar

[2] S.S. Godil, M.S. Shamim, S.A. Enam, and U. Qidwai, Fuzzy Logic: A simple" solution for complexities in neurosciences, Surg. Neurol. Int, 2: 24 (2011).

DOI: 10.4103/2152-7806.77177

Google Scholar

[3] C.C. Lee, Fuzzy logic in control systems: fuzzy logic controller-part I, Systems, Man and Cybernetics, IEEE Transactions on, 20: 2 (1990) 404-418.

DOI: 10.1109/21.52551

Google Scholar

[4] S.E. Kern, J.O. Johnson and D.R. Westenskow, Fuzzy logic for model adaptation of a pharmacokinetic-based closed loop delivery system for pancuronium, Artif. Intell. Med, 11: 1 (1997) 9–31.

DOI: 10.1016/s0933-3657(97)00022-5

Google Scholar

[5] L. Shargel, S. Wu-Pong and A. B. C. Yu, Applied biopharmaceutics and pharmacokinetics, McGraw-Hill Companies, New York, (2005).

Google Scholar

[6] G. L. Dickinson, S. Rezaee, N. J. Proctor, M. S. Lennard, G. T. Tucker and A. Rostami-Hodjegan, Incorporating in vitro information on drug metabolism into clinical trial simulations to assess the effect of CYP2D6 polymorphism on pharmacokinetics and pharmacodynamics: dextromethorphan as a model application, J. Clin. Pharmacol, 47 (2007).

DOI: 10.1177/0091270006294279

Google Scholar