Controlled mechanical ventilation for enhanced measurement in pressure and flow sensors

Abstract

The safe use of a mechanical ventilator should be followed by the fascination of intensivists with different respiratory function parameters. Naturally, this leads to the fact that these parameters should be monitored carefully and accurately. This work describes the monitoring of pressure and flow sensors in ventilation. Although end-tidal CO2 surveillance has become regular in the ICU, it is typically achieved by hold control modules incorporated into the monitoring a machine pumps the necessary amount of air through the lungs when the lungs need encouragement to take in air. Nowadays pressure sensors used in ventilators are of strain gauge type. Variable inductance type is used often in the machine. Ventilators are the pressure bag using a feedback loop from the patient's own breath, they regulate the air volume, pressure, and rate and flow in part. Oxygen ventilation systems use pressurized tanks of pure medical oxygen combined with filtered oxygen because patients with lung damage cannot obtain enough oxygen in the blood from ambient air. Moisturized ambient air to provide the patient with an oxygen-rich mixture of air. Up to 100% oxygen may be needed, depending on the severity of the trauma. The proposed work of this paper is the usage of PID controller, PID based Tyreus Luyben method to improve the pressure, flow of the ventilator. Gaussian Process Regression is used to train the samples and to minimize the error performance of the controller.

Keywords

• Pressure sensor
• Ventilator
• Flow
• Volume
• PID Controller
• Tyreus Luyben