Design of an embedded PID controller applied to blood pressure control

Anna G C D Ribeiro1, André L Maitelli, Ricardo A de M Valentim

  • 1Laboratory of Automation in Petroleum, Automation and Computation Department, Universidade Federal do Rio Grande do Norte, Natal, RN, Brazil. agiselle@dca.ufrn.br

Insights

This study introduces an automated system with a PID controller for precise blood pressure management, crucial for surgical patients. It enhances patient care by reducing manual monitoring errors and optimizing blood pressure control.

Area of Science:

  • Biomedical Engineering
  • Clinical Monitoring
  • Control Systems

Background:

  • Hypertension necessitates strict blood pressure control, especially during and after surgical procedures.
  • Manual blood pressure monitoring is labor-intensive, prone to errors, and can lead to inconsistent patient care.
  • Optimizing patient care requires accurate and timely blood pressure management, particularly in critical perioperative phases.

Purpose of the Study:

  • To design and implement an automated system for precise blood pressure management.
  • To integrate a Proportional-Integral-Derivative (PID) controller for enhanced blood pressure regulation.
  • To improve patient care by minimizing manual monitoring and detecting anomalies efficiently.

Main Methods:

  • Development of an embedded PID controller algorithm for blood pressure regulation.
  • Integration of the PID controller into an automated patient monitoring system.
  • Validation of the system's efficacy in managing blood pressure levels.

Main Results:

  • The automated system demonstrated effective blood pressure control.
  • The embedded PID controller accurately adjusted blood pressure, reducing variability.
  • The system aided in anomaly detection and optimized patient care processes.

Conclusions:

  • The proposed automated system with an embedded PID controller offers a reliable solution for critical blood pressure management.
  • This technology can significantly improve patient safety and care quality in surgical settings.
  • Automated monitoring reduces human error and enhances the efficiency of clinical interventions.

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