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Multi-drug Infusion Control Using Model Reference Adaptive Algorithm

  • S. Enbiya
  • M. A. Hossain
  • F. Mahieddine
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 93)

Abstract

Control of physiological states such as mean arterial pressure (MAP) has been successfully achieved using single drug by different control algorithms. Multi-drug delivery demonstrates a significantly challenging task as compared to control with a single-drug. Also the patient’s sensitivity to the drugs varies from patient to patient. Therefore, the implementation of adaptive controller is very essential to improve the patient care in order to reduce the workload of healthcare staff and costs. This paper presents the design and implementation of the model reference adaptive controller (MRAC) to regulate mean arterial pressure and cardiac output by administering vasoactive and inotropic drugs that are sodium nitroprusside (SNP) and dopamine (DPM) respectively. The proposed adaptive control model has been implemented, tested and verified to demonstrate its merits and capabilities as compared to the existing research work.

Keywords

Mean Arterial Pressure Blood Pressure Control Sodium Nitroprusside Internal Model Control Model Reference Adaptive Control 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • S. Enbiya
    • 1
  • M. A. Hossain
    • 2
  • F. Mahieddine
    • 3
  1. 1.School of Computing, Informatics and MediaUniversity of BradfordBradfordUK
  2. 2.School of Computing, Engineering and Information SciencesNorthumbria UniversityUK
  3. 3.School of Engineering, Design and TechnologyUniversity of BradfordBradfordUK

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