Model reference adaptive scheme for multi-drug infusion for blood pressure control

Area of Science:

• Biomedical Engineering
• Pharmacology
• Control Systems

Background:

• Controlling patient hemodynamic variables like mean arterial pressure (MAP) and cardiac output (CO) is complex due to varying drug sensitivities.
• Simultaneous administration of multiple drugs requires sophisticated control strategies.

Purpose of the Study:

• To develop and evaluate a multivariable model reference adaptive control (MRAC) algorithm for precise hemodynamic management.
• To maintain normal MAP and CO levels by controlling sodium nitroprusside (SNP) and dopamine (DPM) infusion rates.

Main Methods:

• A two-input, two-output patient model was utilized.
• A multivariable model reference adaptive control (MRAC) algorithm was designed.
• Computer simulations were performed to assess controller performance.

Main Results:

• The proposed adaptive control scheme demonstrated robustness against disturbances.
• The controller effectively handled variations in patient model parameters.
• Simulations confirmed the ability to maintain target MAP and CO levels.

Conclusions:

• The developed MRAC algorithm offers a promising approach for automated hemodynamic control in patients.
• The adaptive strategy ensures stable management of MAP and CO, even with physiological variability.
• This method has potential applications in critical care settings for personalized drug administration.