Global models for patient-ventilator interactions in noninvasive ventilation with asynchronies

Authors:
G. G. Rodrigues;L. A. Aguirre;A. Cuvelier;J. -F. Muir;C. Letellier
Affiliations:
Centro Federal de Educação Tecnológica de Minas Gerais Av. Amazonas 7675, 30510-000 Belo Horizonte MG, Brazil;Universidade Federal de Minas Gerais Av. Antônio Carlos 6627, 31270-901 Belo Horizonte MG, Brazil;GRHV EA 3830, Rouen University Hospital, France;GRHV EA 3830, Rouen University Hospital, France;CORIA UMR 6614 - Université de Rouen, BP 12, F-76801 Saint-Etienne du Rouvray cedex, France
Venue:
Computers in Biology and Medicine
Year:
2011

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Abstract

Noninvasive ventilation is a clinical procedure that enables patients with chronic respiratory failure to reduce the work of breathing and to improve blood oxygenation. In order to attain such goals, the ventilation support is expected to be phase synchronized with the patient spontaneous breathing. Unfortunately, asynchrony events are not rare. In order to provide more effective ventilation schemes, the patient-ventilator interactions should be better understood both during normal rhythm and asynchronism. This paper investigates this problem using data-driven modeling. Hence the estimation of input-output and autonomous models from pressure and airflow time series is discussed and illustrated. Issues concerning the nonlinearity of the interactions and modeling assumptions are dealt with. The results presented include models obtained from airflow and pressure measurements of a set of patients.