Computer-controlled mechanical simulation of the artificially ventilated human respiratory system

Area of Science:

• Biomedical Engineering
• Respiratory Mechanics
• Control Systems

Background:

• Mechanical lung simulators are crucial for studying lung pathologies, testing equipment, and education.
• Existing simulators often lack flexibility in adjusting static and dynamic properties.

Purpose of the Study:

• To introduce a computer-controlled mechatronic system for advanced mechanical lung simulation.
• To develop a nonlinear mathematical model for accurate simulation of respiratory system behavior.
• To enhance the stability and performance of the simulator's control system.

Main Methods:

• Derived and implemented a nonlinear single-compartment mathematical model of the artificially ventilated respiratory system.
• Estimated model parameters using data from artificially ventilated patients.
• Developed a Smith-predictor-based feedback controller to manage piston motion and address time delays.

Main Results:

• The simulation model demonstrated a good fit with patient data, capturing static/dynamic compliance and nonlinear flow resistance.
• The developed control system effectively managed piston motion, mitigating potential instability issues.
• The system allows for easy adjustment of simulator properties via user-friendly software.

Conclusions:

• The computer-controlled mechatronic lung simulator offers a flexible and accurate platform for respiratory research and education.
• The integrated nonlinear mathematical model and advanced control system enhance the simulation fidelity and stability.
• This approach facilitates precise simulation of various lung conditions and improves mechanical ventilation testing.