title: Online Estimation Method for Respiratory Parameters Based on a Pneumatic Model.
abstract: Mechanical ventilation is an important method to help people breathe. Respiratory parameters of ventilated patients are usually tracked for pulmonary diagnostics and respiratory treatment assessment. In this paper, to improve the estimation accuracy of respiratory parameters, a pneumatic model for mechanical ventilation was proposed. Furthermore, based on the mathematical model, a recursive least-squares algorithm was adopted to estimate the respiratory parameters. Finally, through experimental and numerical study, it was demonstrated that the proposed estimation method was effective and the method can be used in pulmonary diagnostics and treatment.
authors.forename: Yan
authors.initials: Y
authors.lastname: Shi
authors.forename: Jinglong
authors.initials: J
authors.lastname: Niu
authors.forename: Zhixin
authors.initials: Z
authors.lastname: Cao
authors.forename: Maolin
authors.initials: M
authors.lastname: Cai
authors.forename: Jian
authors.initials: J
authors.lastname: Zhu
authors.forename: Weiqing
authors.initials: W
authors.lastname: Xu
mesh_terms: D000399:Air Pressure; D000465:Algorithms; D003198:Computer Simulation; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D006801:Humans; D008168:Lung / Q000503:physiopathology*; D055370:Lung Injury / Q000175:diagnosis / Q000503:physiopathology* / Q000517:prevention & control*; D008954:Models, Biological; D012129:Respiratory Function Tests / Q000379:methods*; D015656:Respiratory Mechanics; D012212:Rheology / Q000379:methods; D013813:Therapy, Computer-Assisted / Q000379:methods*