Development of exhaled human breath sensor using IoT

Khairol Annuar, Muhammad Arfan (2024) Development of exhaled human breath sensor using IoT. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Breath analysis has the potential to diagnose respiratory diseases and monitor various health conditions in a non-invasive, rapid, and cost-effective manner. Non-invasive methods for breath analysis have lower sensitivity and specificity compared to invasive methods due to the absence of standardized protocols. Invasive methods are more accurate but come with increased discomfort and risk. Non-invasive breath collection and analysis are necessary to enhance the precision and dependability of breath-based commercial sensors. This project involves creating a breath sensor using a commercially available sensor. The MH-Z14A was utilized as a commercial sensor for detecting CO2 levels. Breath samples were collected using a tedlar bag. The sample will consist of individuals non-smoking and smoking behaviors. The sensor will detect samples and connect them to the ESP32 to obtain an output voltage representing the CO2 concentration. The breath analysis will be measured in terms of response time, recovery time, and sensitivity. The data analysis will be integrated with the IoT platform for further processing and utilization.

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