Computational tool for modeling and simulation of mechanically ventilated patients

Area of Science:

• Biomedical Engineering
• Respiratory Medicine
• Computational Physiology

Background:

• Mechanical ventilation settings for patients with chronic obstructive pulmonary disease (COPD) experiencing acute respiratory failure (ARF) are complex and often rely on physician experience.
• Optimizing ventilator settings is crucial for effective treatment and patient outcomes in critical respiratory conditions.

Purpose of the Study:

• To develop and describe an interactive computational tool that simplifies the study of mechanical ventilator-patient interactions.
• To provide a user-friendly interface for clinicians to explore various ventilatory modes and their effects on different patient types.

Main Methods:

• Development of a system based on mathematical models simulating ventilatory modes and patient pathologies.
• Implementation of a graphical user interface (GUI) in Matlab and Simulink for interactive control and visualization.
• Evaluation of the tool using simulated clinical scenarios.

Main Results:

• The developed tool effectively simulates widely used ventilatory modes and their clinical advantages.
• The interactive GUI displays parameters like modern ventilators, masking underlying mathematical complexity for users.
• Simulated clinical evaluations align with current scientific literature on mechanical ventilation.

Conclusions:

• The interactive tool successfully aids in understanding mechanical ventilator-patient dynamics for respiratory care.
• This computational approach can assist clinical personnel in managing ventilation strategies for COPD patients during ARF.
• The system offers a valuable resource for studying and optimizing mechanical ventilation in diverse patient populations.