Project summary: Many diseases affect our normal breathing such as xx xx xx. Clinicians use a Spirometer to assess the pulmonary health of a person. A spirometer is a device that is used to measure the volume of air inspired and expired by the lungs. It is frequently used by
Intelligent Spirometer
Project summary:
Many diseases affect our normal breathing such as xx xx xx. Clinicians use a Spirometer to assess the pulmonary health of a person. A spirometer is a device that is used to measure the volume of air inspired and expired by the lungs. It is frequently used by physicians to diagnose various pulmonary diseases. Our smart spirometer device provides efficient diagnosis through the use of AI Algorithms.
In underdeveloped countries like Pakistan, crucial sectors for sustained development such as health, have seen a marked loss of qualified personnel (physicians), most notably to pulmonary diseases. These lung diseases not only take an enormous physical toll on patients, but also cause significant economic losses both directly in the developing world and less directly in the developed world. It is therefore a matter not only of public health, but also of economic interest, to invest in and organize both internationally and nationally coordinated strategies to fight the major infectious diseases/ lung diseases, or at least to bring them under control.
The proposed point-of-care device could be used both in clinical settings and at home, where patients would be able to monitor their condition from time to time, rather than running to the hospital when their condition gets worse. The smart spirometer device will reduce the burden of diagnosis on physicians, and provide early diagnosis, which will result in timely and shorter therapy. We believe that such a timely diagnosis and therapy of the disease will greatly reduce the burden on the economy, and improve the quality of life of patients, thus reducing the mortality rate.
Project objectives:
PROJECT IMPLEMENTATION METHOD:


Our project implementation method consists of the following steps:
Starting with the literature review, which was completed in a time period of 4 months from June to august, we covered a total of 56 papers from where we selected the relevant papers and made the decision of using respective sensors (venturi flow sensor and MPX7002dp) and microcontroller (arduino Nano)
The pressure sensor is connected to Arduino Nano, both the positive and negative pressure ports are connected to the ports of the venturi flow sensor, a mouthpiece consisting of an air filter, so that no bacteria can enter the spirometer from the patient's mouth, is connected to the venturi flow sensor.
For testing our device, initially the results are observed on an oscilloscope, when inspiring, a negative curve is obtained and when expiring a positive curve is obtained, the results from oscilloscope shows that the device is working properly and the values are in acceptable range to detect human lungs capacity.
Our next step is to acquire data from the patients of COPD, asthma and COVID sufferers, protocol for data acquisition has also been designed.
Using AI algorithms (or feature extraction and data classification) our collected data would be analyzed and it would detect the different lung diseases (COPD, asthma, COVID),
The final step is thesis writing, the first chapter includes the introduction, second chapter is focused on literature review, third and fourth chapter cover the hardware and software design, whereas the last chapter will include the conclusion.
BENEFITS OF PROJECT:
Technical Details:
We propose development of an intelligent spirometer that uses a differential pressure sensor which will measure the values showing the capacity of the lungs. Those values are then fed to the AI based diagnostic system which will classify them into different lung conditions/ diseases. The proposed device will not only assist the pulmonologists in diagnosis but will also reduce the risk of transmission of any viral diseases like COVID-19. With the AI Diagnostic capability, the proposed device will greatly reduce the burden of diagnosis on physicians. Even in rural areas of Pakistan where access to physicians is very rare, such devices would be beneficial in providing timely diagnosis of the lethal pulmonary diseases.
A spirometer is a device that is used for the volume of air inspired and expired by the lungs. It is frequently used by physicians to diagnose various pulmonary diseases. Our smart spirometer provides efficient diagnosis through the use of Artificial Intelligence Algorithms.
It would be a flexible, 90% accurate and proven portable spirometry solution. Easily connected to the PC with Bluetooth for real-time patient incentives, data exchange and EMR (Electronic Medical Record System) connectivity.
• Portable and PC mode
• LCD Display
• Bluetooth capabilities
• Free in-person training
• Easy to use
• POC testing
Our deliverable would be a proposed point-of-care device that could be used both in clinical settings and at home, where patients would be able to monitor their condition from time to time, rather than running to the hospital when their condition gets worse. The smart spirometer device will reduce the burden of diagnosis on physicians, and provide early diagnosis, which will result in timely and shorter therapy. We believe that such a timely diagnosis and therapy of the disease will greatly reduce the burden on the economy, and improve the quality of life of patients, thus reducing the mortality rate. People have avoided going to the doctor's office and hospitals as much as possible since the COVID–19 emergency began. More than ever, we require more access to technologies that allow us to examine our own health, particularly respiratory function.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Arduino mega | Equipment | 1 | 2300 | 2300 |
| Arduino nano | Equipment | 1 | 1350 | 1350 |
| Sensirion | Equipment | 1 | 25176 | 25176 |
| MPX5010DP | Equipment | 1 | 16699 | 16699 |
| MPX7007 | Equipment | 1 | 7389 | 7389 |
| MPXV7002 | Equipment | 1 | 9783 | 9783 |
| pressure sensor(2KPa) | Equipment | 1 | 7272 | 7272 |
| Stationery | Miscellaneous | 1 | 1489 | 1489 |
| Printing | Miscellaneous | 1 | 8497 | 8497 |
| Total in (Rs) | 79955 |
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