ABSTRACT
In this chapter, we present the design and development of AI-assisted smart ventilators with the aim that this ventilator is going to be smart, low cost, portable, and economical enough to handle the diseases of the patient particularly the problem associated with COVID-19. Here we have used sensors like pressure sensors, element or spo2 sensors, flow sensors, a raspberry pi microcontroller to support and ensure the correct functioning of varied sensors and valves to style the required system. We have conjointly designed a software system model mistreatment MATLAB that uses artificial neural networks and machine learning. The software system model uses numerous parameters like patient’s age, heartbeat, temperature, blood pressure, air exchanging capability per minute, etc. associate degrees on the basis of these parameters a health score is generated, and a recommendation for the patient is given. The recommendation therefore generated can facilitate the doctors and employees to higher perceive patient conditions and treat them consequently. The benefit of utilizing AI in ventilators is it will facilitate the early recognition of the difficulty or health problem in an exceedingly patient.
