Recurrence plots for dynamical analysis of non-invasive mechanical ventilation

Abstract

Quantifiers were introduced to convert recurrence plots into a statistical analysis of dynamical properties. It is shown that the Shannon entropy, if properly computed, increases as the chaotic regime is developed as expected. Recurrence plots and a new estimator for the Shannon entropy are then used to identify asynchronisms in noninvasive mechanical ventilation. It is thus shown that the phase coherence-easily identified using a Shannon entropy-is relevant in the quality of the mechanical ventilation. In particular, some patients with chronic respiratory diseases or healthy subjects can have a high rate of asynchronisms but a regular breathing rhythm.

Entropy change of biological dynamics in COPD

“…Rabarimanantsoa et al and Letellier et al conducted a study for the evaluation of patient-ventilator interactions during noninvasive ventilation. 6 , 35 They applied pressure support noninvasive ventilation to 4 COPD patients, 4 obesity hypoventilation syndrome patients in stable state, and 4 healthy subjects during six successive 10-minute periods with various inspiratory pressure and recorded airflow and airway pressure using sensors located near the mask. They applied Shannon entropy to airway pressure and the total duration of the respiratory cycle.…”

Biosignatures of Health

“…Thus, the aim of the technique is to quantify these basic processes. Interestingly, with this approach, researchers have been able to find deterministic dynamics where none have been easily found by other means (Carrubba et al, 2008;Giuliani & Tomasi, 2002;Leao, Leao, & Walmsley, 2005;Letellier, Rabarimanantsoa, Achour, Cuvelier, & Muir, 2008;Marino, Nilsen, & Frilot, 2003;Schumacher, 2004;Song, Lee, & Kim, 2004;Stam, 2005;Webber & Zbilut, 1996;Zimatore, Giuliani, Parlapiano, Grisanti, & Colosimo, 2000). Furthermore, it has been found to be more sensitive than the FT and able to predict states (Sun & Wang, 2008;Webber & Zbilut, 1994).…”