Design of Automatic drug infusion system for mean arterial blood pressure control using cuckoo search algorithm

Authors

  • Gomathy V. Department of Electrical and Electronics Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India Author
  • Gopi R. Department of Computer Science and Engineering, Dhanalakshmi Srinivasan engineering college, Perambalur. India Author
  • Rajaram M. Department of Electronics and Communication Engineering, Park college of Engineering and Technology, Coimbatore, India Author
  • Ahila Devi E. Department of Instrumentation and Control Engineering, St.Joseph’s College of Engineering, Chennai, India Author
  • Anna Devi E. Department of Electronics and Communication Engineering, Sathyabama Institute of Science and Technology, Chennai, India Author

DOI:

https://doi.org/10.61841/aaps5n65

Keywords:

Blood Pressure Control, Drug Delivery System, optimal Control, cuckoo search algorithm, Intelligent techniques

Abstract

The paper presents the optimal control design for an automatic drug infusion system to control the physiological state, such as mean arterial pressure (MAP), by manipulating sodium nitroprusside (SNP). The design of a multi-delivery drug system is very difficult to design due to the patients’ sensitivity and dynamics. This paper presents the design procedure for an optimal controller for a drug delivery system using the Cuckoo search algorithm. The simulation result shows the superiority of the proposed controller design. 

Downloads

Download data is not yet available.

References

[1] 1. K. Behbehani and R. R. Cross, “A controller for regulation of mean arterial blood pressure using optimum nitroprusside infusion rate,” IEEE Trans. Biomed. Eng., Vol. 38, no. 6, pp. 51321, Jun. 1991.

[2] Sondh S. and Hote YV. "Fractional-order PI controller with specific gain-phase margin for MABP control." IETE Journal of Research 61, no. 2 (2015): 142-153.

[3] Enbiya, S., Hossain, M.A., and Mahieddine, F., 2011. Multi-drug infusion control using model

reference adaptive algorithm. In 5th International Conference on Practical Applications of

Computational Biology & Bioinformatics (PACBB 2011) (pp. 141-148). Springer, Berlin, Heidelberg.

[4] Bibian, S., Ries, C.R., Huzmezan, M., and Dumont, G., 2005. Introduction to automated drug delivery in clinical anesthesia. European Journal of Control, 11(6), pp. 535-557.

[5] Urooj, S, and Singh B., "Fractional-Order PID Control for Postoperative Mean Arterial Blood Pressure

Control Scheme." Procedia Computer Science 152 (2019): 380-389.

[6] Bibian S, Ries CR, Huzmezan M, Dumont G. Introduction to automated drug delivery in clinical

anesthesia. European Journal of Control. 2005 Jan 1;11(6):535-57.

[7] Bequette BW. Process control: modeling, design, and simulation. Prentice Hall Professional; 2003.

[8] X.S. Yang, S. Deb.: Cuckoo search via Lévy flights. World Congress on Nature & Biologically

Inspired Computing (NaBIC 2009).IEEE Publications. 210–214 (2009).

[9]Amir HosseinGandomi, Xin-She Yang, and Amir Hossein-Alavi: Cuckoo search algorithm: a metaheuristic

approach to solve structural optimization problems. Engineering with Computers. 29(1), 17-35(2013).

[10]https://www.rocscience.com/help/slide3/slide3Dmodel/Cuckoo_Search.htm

[11] Ziegler, J.G. & Nichols, N. B. (1942). "Optimum settings for automatic controllers" (PDF).

Transactions of the ASME. 64: 759–768.

[12] Lakshmanaprabu SK. Multiloop FOPID Controller Design for TITO Process Using Evolutionary Algorithm. International Journal of Energy Optimization and Engineering (IJEOE). 2019 Jul 1;8(3):117-30.

Downloads

Published

31.05.2020

Issue

Vol. 24 No. 3 (2020): 24 (3) 2020

Section

Articles

License

Copyright (c) 2020 AUTHOR

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

You are free to:

  1. Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
  2. Adapt — remix, transform, and build upon the material for any purpose, even commercially.
  3. The licensor cannot revoke these freedoms as long as you follow the license terms.

Under the following terms:

  1. Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  2. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

Notices:

You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .

No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.

How to Cite

V., G., R., G., M., R., E. , A. D., & E. , A. D. (2020). Design of Automatic drug infusion system for mean arterial blood pressure control using cuckoo search algorithm. International Journal of Psychosocial Rehabilitation, 24(3), 4198-4210. https://doi.org/10.61841/aaps5n65