Efficient Algorithm for Pulmonary Nonlinear Model Online Estimation of Patients Under Assisted Ventilation-Reference-Cited by-同舟云学术

Efficient Algorithm for Pulmonary Nonlinear Model Online Estimation of Patients Under Assisted Ventilation

Published:2023-10-18 Issue: Volume:20 Page:257-266
ISSN:2224-2902
Container-title:WSEAS TRANSACTIONS ON BIOLOGY AND BIOMEDICINE
language:en
Short-container-title:

Author:

Riva Diego A.¹,Evangelista Carolina A.¹,Puleston Paul F.¹

Affiliation:

1. Instituto LEICI, Facultad de Ingeniería (UNLP) Universidad Nacional de La Plata and CONICET 48 and 116 st., C.C. 91 (1900) La Plata ARGENTINA

Abstract

An efficient algorithm to estimate a respiratory system nonlinear model of sedated patients under assisted ventilation is presented. The considered model comprises an airways resistance and a volume-dependant compliance and, for each respiratory cycle, the proposed algorithm provides online the model parameters guaranteeing a minimum accuracy, above a user-defined threshold. Relying on standard nonlinear identification techniques, it exhibits computational burden reduction features, which contribute to its suitability for its online application.

Publisher

World Scientific and Engineering Academy and Society (WSEAS)

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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