Recurrence plots for dynamical analysis of non-invasive mechanical ventilation

Area of Science:

• Dynamical systems analysis
• Biomedical engineering
• Respiratory physiology

Background:

• Recurrence plots (RPs) offer statistical analysis of dynamical properties.
• Shannon entropy is a key quantifier for assessing system dynamics.

Purpose of the Study:

• To introduce quantifiers for converting recurrence plots into statistical dynamical analysis.
• To utilize RPs and a novel Shannon entropy estimator to detect asynchronisms in non-invasive mechanical ventilation.

Main Methods:

• Development of quantifiers for recurrence plot analysis.
• Application of a new Shannon entropy estimator.
• Identification of phase coherence and asynchronisms in mechanical ventilation data.

Main Results:

• Properly computed Shannon entropy increases with the development of chaotic regimes.
• RPs and the new entropy estimator successfully identified asynchronisms in mechanical ventilation.
• Phase coherence, assessed via Shannon entropy, is crucial for mechanical ventilation quality.

Conclusions:

• The study demonstrates the utility of RPs and Shannon entropy for analyzing dynamical properties in mechanical ventilation.
• This approach can detect asynchronisms, offering insights into ventilation quality.
• High asynchronism rates can occur even with regular breathing rhythms in certain patient groups and healthy subjects.