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research-article

Online Estimation Method for Respiratory Parameters Based on a Pneumatic Model

Published: 01 September 2016 Publication History

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.

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cover image IEEE/ACM Transactions on Computational Biology and Bioinformatics
IEEE/ACM Transactions on Computational Biology and Bioinformatics  Volume 13, Issue 5
September 2016
193 pages

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IEEE Computer Society Press

Washington, DC, United States

Publication History

Published: 01 September 2016
Published in TCBB Volume 13, Issue 5

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