Measurement of CO$_2$ Retention in Subea EasyBreath Masks Converted into Improvised COVID19 Protection Measures for Medical Services

Abstract

Studies of 9 volunteers wearing a full-face mask were carried out to measure changes in CO$_2$ concentration, pressure, air volume, and temperature. Each volunteer had a total of 6 measurements taken either while sitting or performing physical activity (walking at a speed of 4.5 km/h). The masks were converted from the SNORKELING EASYBREATH 500 SUBEA model purchased in the DECATHLON chain of stores, they were given to paramedics, and a few were left for testing. The proposed solution includes an application that acquires, processes, visualizes, and stores the signals understudy, and an electronic system to collect the parameters described above. Python was used to create the program due to its extensive number of signal analysis libraries. The measuring system is based on the ESP32 devkit V1 microcontroller. It is a popular choice for prototyping measuring systems. As part of our campaign called “Przyłbica dla Medyka AGH” (face shield for medic AGH), tests have been carried out since May, in cooperation with medical centers throughout the country. About 10,000 full face masks have already been handed over to healthcare professionals. We hope that the solutions we propose using the Internet of Things (IoT) technology will increase the comfort of the work of medical personnel throughout the country.