title: Leakage estimation using Kalman filtering in noninvasive mechanical ventilation.
abstract: Noninvasive mechanical ventilation is today often used to assist patient with chronic respiratory failure. One of the main reasons evoked to explain asynchrony events, discomfort, unwillingness to be treated, etc., is the occurrence of nonintentional leaks in the ventilation circuit, which are difficult to account for because they are not measured. This paper describes a solution to the problem of variable leakage estimation based on a Kalman filter driven by airflow and the pressure signals, both of which are available in the ventilation circuit. The filter was validated by showing that based on the attained leakage estimates, practically all the untriggered cycles can be explained.
authors.affiliation: Centro Federal de Educação Tecnológica de Minas Gerais, Belo Horizonte 30510-000, MG, Brazil.
authors.forename: G G
authors.initials: GG
authors.lastname: Rodrigues
authors.forename: U S
authors.initials: US
authors.lastname: Freitas
authors.forename: D
authors.initials: D
authors.lastname: Bounoiare
authors.forename: L A
authors.initials: LA
authors.lastname: Aguirre
authors.forename: C
authors.initials: C
authors.lastname: Letellier
mesh_terms: D000465:Algorithms; D006801:Humans; D008962:Models, Theoretical; D063087:Noninvasive Ventilation / Q000379:methods*; D015203:Reproducibility of Results; D012131:Respiratory Insufficiency / Q000628:therapy; D012815:Signal Processing, Computer-Assisted; D018709:Statistics, Nonparametric