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Mechatronic Design and Robust Control of an Artificial Ventilator in Response to the Covid-19 Pandemic

EasyChair Preprint no. 9303

17 pagesDate: November 11, 2022

Abstract

Human lungs use the reverse pressure generated by contraction motion of the diaphragm to suck in air for breathing. A contradictory motion is used by a ventilator to inflate the lungs by pumping type motion. A ventilator mechanism must be able to deliver in the range of 10 – 30 breaths per minute, with the ability to adjust rising increments in sets of 2. Along with this the ventilator must have the ability to adjust the air volume pushed into lungs in each breath. The last but now the least is the setting to adjust the time duration for inhalation to exhalation ratio. Apart from this the ventilator must be able to monitor the patient’s blood oxygen level and exhaled lung pressure to avoid over/under air pressure simultaneously.

The ventilator we here design and develop using arduino encompasses all these requirements to develop a reliable yet affordable ventilator to help in times of pandemic. We here use a silicon ventilator bag coupled driven by servo motor with one side push mechanism to push the ventilator bag. 

 Our system makes use of blood oxygen sensor along with sensitive heart Beat sensor to monitor the necessary vitals of the patient and display on a webpage using IoT. To adjust the 

time duration for inhalation the option command given in the IoT application to set. The entire system is driven by arduino controller to achieve desired results and to assist patients in COVID pandemic and other emergency situations.

Keyphrases: COVID, IoT, ventilator

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:9303,
  author = {Prabhu S. Raja and Kiruba N Karan and Jaya V Prakash},
  title = {Mechatronic Design and Robust Control of an Artificial Ventilator in Response to the Covid-19 Pandemic},
  howpublished = {EasyChair Preprint no. 9303},

  year = {EasyChair, 2022}}
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