Recurrence plots for dynamical analysis of non-invasive mechanical ventilation.
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 non-invasive 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.
Letellier
C
C
Université de Rouen, BP 12, 76801 Saint-Etienne du Rouvray Cedex, France. christophe.letellier@coria.fr
Rabarimanantsoa
H
H
Achour
L
L
Cuvelier
A
A
Muir
J-F
JF
D005260:Female; D006801:Humans; D008297:Male; D015233:Models, Statistical; D017711:Nonlinear Dynamics; D010845:Obesity Hypoventilation Syndrome / Q000503:physiopathology / Q000628:therapy; D029424:Pulmonary Disease, Chronic Obstructive / Q000503:physiopathology / Q000628:therapy; D012121:Respiration, Artificial / Q000379:methods / Q000706:statistics & numerical data*; D015656:Respiratory Mechanics