title: Constrained optimization for noninvasive estimation of work of breathing.
abstract: This paper presents a technique for noninvasive estimation of respiratory muscle effort (also known as work of breathing, WOB) in mechanically ventilated patients. Continual and real-time assessment of the patient WOB is desirable, as it helps the clinician make decisions about increasing or decreasing mechanical respiratory support. The technique presented is based on a physiological model of the respiratory system, from which a cost function is constructed as the sum of squared errors between model-based airway pressure predictions and actual measurements. Quadratic programming methods are used to minimize this cost function. An experimental example on animal data shows the effectiveness of the technique.
authors.forename: Francesco
authors.initials: F
authors.lastname: Vicario
authors.forename: Antonio
authors.initials: A
authors.lastname: Albanese
authors.forename: Dong
authors.initials: D
authors.lastname: Wang
authors.forename: Nikolaos
authors.initials: N
authors.lastname: Karamolegkos
authors.forename: Nicolas W
authors.initials: NW
authors.lastname: Chbat
mesh_terms: D000465:Algorithms; D000818:Animals; D006801:Humans; D016014:Linear Models; D012119:Respiration; D012121:Respiration, Artificial; D012129:Respiratory Function Tests / Q000379:methods*; D012132:Respiratory Muscles / Q000503:physiopathology; D014939:Work of Breathing / Q000502:physiology*