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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
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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