International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 09 Issue: 05 | May 2022
p-ISSN: 2395-0072
www.irjet.net
Dual Mode Ventilator Integrated with Patient Monitoring System Monisha D1, Akshara R2, Akhil P3, Athira Raju4, Sugina Sudhakaran5 1Monisha
D Department of BME Hindusthan College of Engineering and Technology Coimbatore, India R Department of BME Hindusthan College of Engineering and Technology Coimbatore, India 3Akhil P Department of BME Hindusthan College of Engineering and Technology Coimbatore, India 4Athira Raju Department of BME Hindusthan College of Engineering and Technology Coimbatore, India 5Sugina Sudhakaran Department of BME Hindusthan College of Engineering and Technology Coimbatore, India ---------------------------------------------------------------------***--------------------------------------------------------------------2Akshara
Abstract - The major objective of this project is to design an
to preserve enough blood oxygenation and reduces the work of respiratory to permit them to get better from the underlying ailment or insult. However, deciding on best patient-specific MV settings is tough due to restricted measurements and giant inter and intra- affected person variability. The ensuing sub-optimal air flow settings can introduce problems hindering terrible affected person healing and lowering outcomes. Protective MV strategies, and staircase recruitment man oeuvres observed with wonderful end-expiratory stress are frequent protecting computer air flow strategy for acute respiratory misery syndrome and respiratory failure sufferers to preserve their lung open and enhance oxygenation. However, these tactics are generalized and do no longer think about patient-specific disorder nation and their response to treatment. As a result, sufferers ventilated with immoderate airway stress or tidal extent can increase ventilator brought on lung injury, growing morbidity and mortality. Thus, accurate, predictive, and patient-specific MV techniques should drastically improve desktop air flow care, and limit both VILI and mortality. Currently, no effective standardized method exists for clinicians to determine the optimal patient-specific machine ventilation settings, leading to uncertainty, variability, and increased risk. Model-based methods are a growing means of personalizing care. While many fashions can efficaciously seize lung dynamics, very few can precisely predict the pulmonary response over time. In addition, these model-based works are carried out well, and there is a want of a platform to allow computing device air flow monitoring, processing and to furnish selection assist data to the clinicians. Some ventilators can grant some real-time assessments, such as useful residual ability estimator and inflection points, and some additionally supply estimates of elastance from Pressure-Volume curves. However, these ventilators do now not supply a couple of affected person monitoring, nor do they grant accurate, clinically validated estimates of quintessential respiratory mechanics parameters or patient-ventilator interplay monitoring. Most research have been relying on clinicians at the bedside to diagnose and manipulate computer air flow treatment. A range of monitoring structures in the literature supply statistics acquisition, however do now not grant real-time evaluation and feedback. In order to tackle the aforementioned drawbacks, there is a want to enhance statistics acquisition of ventilator waveform information
efficient low-cost ventilator for covid-19 patients and to measure the vital parameters using integrated patient monitoring system which can works on adult and pediatric mode and can be available for multiple patients. A mechanical ventilator is a device that supports enough oxygen for patients with respiratory distress in an intensive care unit (ICU). In this work, a portable mechanical ventilator is designed in such a way that it can be used in emergency vehicles and can also be used as a portable ventilation device for patients who are suffering from breathing. Through the integration of advanced electronics and mechanical instruments such as microcontroller and sensors like heart beat sensor, spo2 sensor, temperature sensors, pulse sensors, we implement a portable high-frequency ventilator which can measure ECG, SPO2, Temperature and Pulse. It is capable of working at two different modes by adding motor drivers which can be controlled via switches. All the sensed data is updated to the microcontroller and it will process the ventilator data and updated to the concerned person through IOT. All the updates will be displayed on the mobile phone/PC through Blynk Application. Key Words: Application
Ventilator, Arduino, ESP 32, IoT, Blynk
1. INTRODUCTION A mechanical ventilator is a gadget that helps ample oxygen for sufferers with respiratory misery in an intensive care unit (ICU). The everyday ventilator reserve of the health center is a ways from assembly the desires of patients. So unhappy to hear information reviews that some international locations have no desire however to quit the use of a ventilator for sufferers over sixty five years of age. Such a choice is irritating however can recognize the helplessness. Some international locations even initiated animal ventilators for human scientific use. Ventilators, additionally recognized as life-support machines, won’t treatment an illness, however they can preserve sufferers alive whilst they battle a contamination or their physique heals from an injury. This mechanical air flow is an automated method that routinely affords air flow to sufferers through the given inputs to the system. Mechanical air flow helps the respiratory of respiratory failure sufferers
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