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A Detailed Protocol for Physiological Parameters Acquisition and Analysis in Neurosurgical Critical Patients
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Intelligent infusion controller with a physiological information feedback function.

Jing Li1, Pengfei Dong1, Yongxin Lai1

  • 1School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an, Shaanxi, 710072, China.

Technology and Health Care : Official Journal of the European Society for Engineering and Medicine
|May 5, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces an intelligent infusion controller that monitors patient heart rate and adjusts drip speed automatically. This system enhances patient safety by enabling real-time monitoring and smart control of the infusion process.

Keywords:
Infusion reactiondripping speed controlintelligent feedback

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Area of Science:

  • Biomedical Engineering
  • Medical Devices
  • Control Systems

Background:

  • Current hospital infusion systems face challenges with timely transfusion reaction management.
  • Lack of real-time physiological monitoring for infusion patients hinders timely intervention.
  • Manual control of infusion rates lacks precision and smart regulation capabilities.

Purpose of the Study:

  • To develop an intelligent monitoring method and a controller for regulating infusion dripping speed.
  • To address limitations in current intravenous infusion practices.
  • To improve patient safety and care during infusions.

Main Methods:

  • Utilized a photoelectric sensor for real-time heart rate (HR) detection.
  • Developed a fuzzy logic-based PID self-tuning controller for adaptive drip rate control.
  • Implemented a multi-stage adaptive control system driven by HR feedback and motor-controlled cam mechanism.
  • Integrated transmission of infusion and physiological data to a central nurse station for remote monitoring.

Main Results:

  • Achieved average accuracy exceeding 94% for heart rate signal detection.
  • Demonstrated average accuracy above 98% for dripping speed detection and adjustment.
  • Completed drip rate adjustments within an average time of 35 seconds.
  • Validated the system's capability for intelligent infusion process control.

Conclusions:

  • The intelligent infusion controller effectively manages the infusion process with high reliability.
  • The system exhibits minimal steady-state error, indicating precise control.
  • The developed controller offers significant practical value for improving patient safety and healthcare efficiency.