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Related Experiment Videos

A ventilator generating a positive or negative internal compliance.

P Schaller1, A Schulze

  • 1Dresden Medical Academy, Institute of Biomedical Engineering, Germany.

Upsala Journal of Medical Sciences
|January 1, 1991
PubMed
Summary
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This study details a new ventilator system for intubated infants, allowing adjustable respiratory muscle loading. The system accurately provides both elastic loading and unloading during spontaneous breathing.

Area of Science:

  • Biomedical Engineering
  • Respiratory Physiology
  • Infant Critical Care

Background:

  • Mechanical ventilation is crucial for intubated infants.
  • Altering respiratory load can aid in weaning and respiratory muscle training.
  • Existing ventilators may lack precise control over imposed loads.

Purpose of the Study:

  • To describe a novel ventilator system capable of altering resistive and elastic loads during spontaneous breathing in intubated infants.
  • To validate the accuracy of the ventilator's compliance (Cv) settings against measured values.
  • To verify the theoretical model for total compliance (Ct) of the ventilator-lung system.

Main Methods:

  • A ventilator system was designed to superimpose weighted flow/volume signals onto a pressure controller input.

Related Experiment Videos

  • Ventilator compliance (Cv) was set and measured using a ventilation mechanics calculator.
  • Total compliance (Ct) was measured and compared to theoretical predictions (1/Ct = 1/Cv + 1/C1m).

    • Main Results:

    • Ventilator compliance (Cv) settings closely matched measured values (Cvm = 0.97 * Cvs + 0.54) across the tested range.
    • Measured total compliance (Ct) aligned well with theoretical expectations.
    • The standard deviation of relative residuals for elastic loading and unloading was low (2.7% and 12.4%, respectively).

    Conclusions:

    • The described ventilator effectively provides adjustable elastic loading and unloading for spontaneous breathing in infants.
    • The system's performance aligns with theoretical predictions, offering precise control over respiratory loads.
    • This technology has potential applications in respiratory support and rehabilitation for intubated infants.