AUTOMATION OF THE ACTIVATION OF AN AMBU FOR USE AS AN EMERGENCY RESPIRATOR

Authors

  • JOSE MEDEIROS Univasf
  • Jadsonlee Sá UNIVASF
  • Edna Benta UNIVASF
  • Max Farias

Keywords:

-19; Emergency Respirators; AMBU; Respirators

Abstract

Faced with the risks posed by the Corona Virus pandemic, everywhere in the world, society in general was challenged to face a problem with catastrophic perspectives and, due to little experience and knowledge of the subject worldwide, many lines of action have been opened, since to address topics from disease prevention to care for infected patients and in extremely serious situations. Among these countless lines of action, being Corona Virus infection, a disease that affects the respiratory system, there was a great demand for artificial respirators, which on the one hand led to the lack of this equipment on the market, and on the other, the urgent search by mechanized systems capable of being used as emergency respirators, even if it was for use in patients in situations of lower severity to release hospital beds with certified respirators available in the ICU. Along these lines, various sectors of society, civilians, military, companies, independent inventors, educational institutions, etc., also sought to contribute in some way, by developing equipment capable of being used as emergency respirators. In this sense, this work presents the development and construction of a tested prototype that proved to be capable of being produced in sufficient quantities to face an extreme situation. A brief review of the proposals is presented that, until the beginning of this work, had been studied and from there, the choice of a way to automate an AMBU, within the reality of supplying parts and services by the industry around the insertion region of UNIVASF.

Author Biographies

Jadsonlee Sá, UNIVASF

Engenharia Elétrica (UFCG). Doutor em Engenharia Elétrica (UFCG).

Edna Benta, UNIVASF

Engenheira Química (UFSC). Mestre em Engenharia  Química  (UNICAMP). Doutora em  Engenharia  Mecânica  (UNICAMP)

Max Farias

Bacharel em Ciência da Computação (UNIT), Mestrado em Modelagem Computacional de Conhecimento (UFAL) e Doutorado em Ciência da Computação (UFPE).

Published

2021-12-31

Issue

Section

Artigos