Development of a Real-Time Spirometry Diagnostic Device for Pulmonary Function Assessment Using Flow Sensor and Android Display

DOI: https://doi.org/10.33650/jeecom.v8i2.17038
Authors

(1) * Muhammad Ridha Mak’ruf   (1Department of Medical Electronics Technology, Poltekkes Kemenkes Surabaya, Indonesia)  
        Indonesia
(2)  Andjar Pudji   (Department of Medical Electronics Technology, Poltekkes Kemenkes Surabaya, Indonesia)
(3)  Ekha Rifki Fauzi   (Universitas PGRI Yogyakarta)  
        Indonesia
(*) Corresponding Author

Abstract


Accurate and convenient measurement of lung function is an important requirement in medical diagnosis. This research was previous research by changing the pressure sensor to develop a flow meter sensor and using an Android display on an Android server. The spirometer tool was developed using an ESP32 microcontroller and a flow meter sensor, the measurement results of which are displayed in real-time on the Nextion LCD and Android server. The measured data includes FVC and FEV1 parameters, with hotspots used to connect the device to the server. Measurements using this tool show the highest error of 0.36% in the FVC parameter and 0.86% in the FEV1 parameter. The lowest error was recorded at 0.01% for FVC and 0.13% for FEV1. Real-time measurement results can be viewed via the Nextion LCD and also accessed via Android devices. The patient's lung volume can be measured accurately and visualized in graphical form. The use of a flow meter sensor connected to an ESP32 microcontroller has proven effective for detecting changes in air flow during patient breathing. The measurement results are stable with a very small error rate. Integration with Android servers makes it easy to monitor results digitally and in real-time. Overall, this device offers a practical and efficient solution for the diagnosis of pulmonary conditions. It can be concluded that the flow meter sensor used in this spirometer can measure lung volume accurately with a very small error rate. This tool can be an effective alternative for real-time and easily accessible FVC and FEV1 measurements.

Keywords

Spirometer; Flow Meter; Android; ESP 32; Lung Volume



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