Eventos Anais de eventos
COBEM 2021
26th International Congress of Mechanical Engineering
DEFINING A META-MODEL FOR A COMMERCIAL PULMONARY MECHANICAL VENTILATOR
Submission Author:
João Paulo Fonseca , GO
Co-Authors:
João Paulo Fonseca, Marlipe Garcia Fagundes Neto, André Luiz Franco, Sigeo Kitatani Júnior
Presenter: João Paulo Fonseca
doi://10.26678/ABCM.COBEM2021.COB2021-1786
Abstract
The coronavirus disease 2019 (COVID-19) impacts the health infrastructure. In some places, people who need artificial ventilation suffer with the lack of equipment and health system overburden. While many initiatives seek solutions to overcome the lack of respiratory support equipment, it was necessary to understand the behavior of a commercial pulmonary ventilator, by characterizing the way in which some input variables such as required volume, admitted inspiratory flow, positive end-expiratory pressure, and the patient's lung condition contribute to the response of the equipment, according to the ventilation mode set. This study aims to build a meta-model for the behavior of a commercial pulmonary ventilator, when configured in the volume-controlled ventilation mode. The design considered three treatment-level for each factor resulting in a 34 full factorial design. The volume delivered by the ventilator (tidal volume) and the peak inspiratory pressure were defined as the response variable and, as factor variables, the patient pulmonary condition (low, medium, and high), the adjusted inspiratory flow (25, 35, and 45 l/min), the controlled inspiratory volume (400, 500 and 600 ml) and adjusted PEEP (5, 10, and 15 cmH2O). The three different pulmonary condition was emulated by varying the patient complacency and resistance in a simulated respiratory circuit and the three treatments for the others factor was adjusted in the equipment. Then, the analysis of variance (ANOVA) and fitting regression models for main and interactions effects of linear and quadratic order was conducted. In addition to the test for significance of regression at ANOVA, the adherence of the metamodeling was checked through the analysis of residuals and the standardized effects at 95 % confidence interval. For tidal volume, the controlled volume is the most significant factor, while for peak inspiratory pressure is the pulmonary condition. Also, PEEP has an important significance for both models. The reached results were preliminary, but essential to lead the process of design and characterization of an alternative pulmonary mechanical ventilator prototype, which aims to be applied in future unpredictable emergency situations, like observed in the COVID-19 crisis.
Keywords
biomedical equipment, System modelling, Metamodel, covid-19
