Since 2020, the Covid-19 pandemic has caused many casualties and the spread of the virus has brought the world in a lockdown state causing a global scale panic. It has hit hard especially in the developing countries and the growing number of patients has incited a worldwide shortage of ventilators.
Low Cost Smart Ventilator with Pulmonary Monitoring
Since 2020, the Covid-19 pandemic has caused many casualties and the spread of the virus has brought the world in a lockdown state causing a global scale panic. It has hit hard especially in the developing countries and the growing number of patients has incited a worldwide shortage of ventilators. Although many scientists around the world have maneuvered a Low Cost Solution to the dilemma, our project aims to improve and add various features to the Low cost smart ventilator.
Our project “Low Cost Smart Ventilator with Pulmonary Monitoring” is an alternative approach to high technological and advanced ventilators. The following ventilator offers a unique feature that monitors the pressure of the lungs and displays the reading on a graph. Moreover, an active alarm system is integrated that will alert the clinician if the patient’s lung pressure goes abnormal. The following ventilator also offers an IOT feature that will upload the pulmonary monitored data onto a webpage that can be accessed via mobile phone. This will allow doctors to see the pulmonary condition of the patient from anyplace where internet is available. Our Ventilator also offers portability which can be a vital aspect. The user can operate the ventilator not only in hospitals but in ambulances, homes, and clinics.
Arduino UNO Microcontroller will suffice as the brain of the ventilator. We can use a Raspberry Pi module for better User interface and other features, but the objective is to keep the cost at minimum. The Air Supply will be provided by an Ambu Bag that will be actuated by a motor.
There are 3 major input parameters that we need to integrate with the microcontroller. One is the Inspiration to Expiration (I: E) rate, 2nd is the Respiratory Frequency (Fr) and the 3rd is the (Vt) Volume Provided. For each Parameter there will be a Knob attached which will be handled by a Clinician. He will set the 3 input parameters according to the Patient's physical conditions. We will display the 3 parameters onto a 16x4 LCD Screen so that the clinician may be able to identify the parameters. Next is the integration of a pressure sensor which shall be attached to the expiratory limb of the ventilator. The Pressure Sensor will read the data in volts and by a formula, we can depict the cmH20 value of the lung. The data will be recorded and will be displayed on a Graph, respectively. By a Wi-Fi Module, we will display the graph reading onto a mobile screen. This will allow us to see the readings from our homes.
Once the Coding is completed, Mechanical Part is to be constructed. The Pushing Mechanism will be done by a Motor that will actuate the BVM Bag according to the settings provided by the clinician. The Rotation of the Motor will determine how much Volume of Air is to be provided and How fast it needs to Provide the Patient. The 3 parameters set by the Clinician will judge the dynamics of the system.
Lastly, the remaining circuit and the body of the ventilator is to be constructed. Body is to separate the main equipment and any outer environmental object that may cause interference.
The following Low Cost Smart Ventilator provides numerous beneficial factors.
Arduino UNO is a durable and an adaptable Microcontroller which can easily process analog data. We could use a Raspberry Pi Module instead of an Arduino UNO but since heavy processing is not implicated and the price would increase as sustainably as well. Moving on to the next step, we will integrate 3 potentiometers with the Arduino so that the clinician may be able to provide the 3 input values naming Vt, Fr, I: E. Pressure Sensor will also be integrated with the Arduino and the placement of the Sensor will be at the expiratory limb. The Data recorded from the pressure sensor will be passed through an equation to formulate the pressure of the lungs and depicting it on a graph. The Pressure sensor used here is an MPX100AP which ranges from 0 kPa to 100kPa. Next step is to use ESP8266 Module to send the processed data to the Blynk Application. From there. One can easily access the reading of the patient. The Mechanical Part is the compression Mechanism. A BVM Bag is to be actuated by a Servo Motor.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Arduino UNO | Equipment | 1 | 700 | 700 |
| ESP8266 | Equipment | 1 | 850 | 850 |
| Pressure Sensor MPX100 | Equipment | 1 | 1500 | 1500 |
| Potentiometer and Resistors | Equipment | 1 | 100 | 100 |
| Jumper Wires | Equipment | 2 | 80 | 160 |
| Ambu Bag | Equipment | 1 | 2200 | 2200 |
| Wooden Trolley | Equipment | 1 | 8500 | 8500 |
| Servo Motor | Equipment | 1 | 500 | 500 |
| 16x4 LCD | Equipment | 1 | 600 | 600 |
| Construction Materials | Equipment | 1 | 5000 | 5000 |
| 12V Power Supply | Equipment | 1 | 300 | 300 |
| Total in (Rs) | 20410 |
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