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Development of a Simulation Software Algorithm for High-End Mechanical Ventilators with Functionalities to attend COVID-19 Patients.
Annu Int Conf IEEE Eng Med Biol Soc ; 2022: 986-990, 2022 07.
Article in English | MEDLINE | ID: covidwho-2018741
ABSTRACT
More than 500 millions of people were affected by the COVID-19 pandemic and in Peru there is an increasing the high numbers of cumulative cases; as well as the hospitalized people, where more than 20 % require mechanical ventilation. This condition with other respiratory diseases cause patients to remain connected to a mechanical ventilator until they regain the ability to perform this vital function on their own. Some prototypes with characteristics equivalent to a high-end mechanical ventilator have been developed. And therefore, this paper presents the design and simulation of an algorithm for the pressure-controlled pulmonary ventilation mode of the mechanical ventilator. The functional design of the algorithm uses the linear multi compartment mathematical model to simulate the respiratory system. Finally the results respond adequately under multiple scenarios, including variations of the ventilator and pulmonary parameters, where the algorithm presents encouraging results in the mechanical ventilator simulation. Clinical relevance - The algorithm presented in this study will allow to have better knowledge for a treatment and eventual clinical diagnosis in health centers, especially in eventual variants and outbreaks of COVID-19.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Prognostic study Topics: Variants Limits: Humans Language: English Journal: Annu Int Conf IEEE Eng Med Biol Soc Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Prognostic study Topics: Variants Limits: Humans Language: English Journal: Annu Int Conf IEEE Eng Med Biol Soc Year: 2022 Document Type: Article