A novel adaptive control system for noisy pressure-controlled ventilation: a numerical simulation and bench test...

Area of Science:

• Mechanical ventilation
• Respiratory system mechanics
• Adaptive control systems

Background:

• Growing interest in combining variable and pressure-controlled ventilation (PCV).
• Need for mechanical ventilators to adapt to respiratory system mechanics during PCV.
• Development of "noisy PCV" necessitates advanced control strategies.

Purpose of the Study:

• To develop and evaluate a novel control system for noisy PCV.
• To automatically adjust driving pressure during PCV using a least-mean-squares adaptive approach.
• To achieve a desired variability pattern of tidal volume (V (T)).

Main Methods:

• Utilized numerical simulations and a physical model of the respiratory system.
• Applied step changes in respiratory system mechanics and ventilation settings.
• Determined convergence time (t (c)) and minute ventilation difference (DeltaMV).

Main Results:

• Noisy PCV control system achieved desired V (T) pattern in <30 cycles in simulations.
• Convergence occurred in <60 cycles in physical models, unaffected by airways resistance.
• Minute ventilation difference (DeltaMV) remained <25% across all tests.

Conclusions:

• The developed control system for noisy PCV is effective.
• This system shows potential utility in controlled mechanical ventilation settings.
• The adaptive approach ensures accurate V (T) variability during mechanical ventilation.