Monitoring Oxygen Concentration and Humidity Parameters of Bubble CPAP Based on IoT

Bubble CPAP, Oxygen Concentration, Humidity, OCS-3f, DHT 22

Authors

  • Ratna Ika Puspitasari
    RatnaIka@gmail.com
    Department of Medical Electronics Technology, Health Polytechnic Ministry of Health Surabaya, Surabaya, Indonesia ; Rumah Sakit Umum Pusat (RSUP) dr.Sardjito, Yogyakarta, Jl.Kesehatan No.1, Sekip, Yogyakarta 55281, Indonesia, Indonesia
  • Dyah Titisari Department of Medical Electronics Technology, Health Polytechnic Ministry of Health Surabaya, Surabaya, Indonesia , Indonesia
  • Lusiana Lusiana Department of Medical Electronics Technology, Health Polytechnic Ministry of Health Surabaya, Surabaya, Indonesia , Indonesia
  • Lamidi Lamidi Department of Medical Electronics Technology, Health Polytechnic Ministry of Health Surabaya, Surabaya, Indonesia , Indonesia

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 Existing Bubble Continuous Positive Airway Pressure (CPAP) devices used in neonatal care. Specifically, the 
lack of digital result display and monitoring capabilities for oxygen concentration and humidity parameters is identified as a 
major issue. This study aims to address the shortcomings of existing Bubble Continuous Positive Airway Pressure (CPAP) 
devices used in neonatal care by designing a monitoring system for oxygen concentration and humidity parameters. The lack 
of digital result display and monitoring capabilities for oxygen rate, concentration, temperature, and humidity necessitates an 
improved solution. The proposed system utilizes Internet of Things (IoT) technology, allowing remote monitoring by 
healthcare professionals. Oxygen concentration is detected using the OCS-3f sensor, and humidity is measured with the DHT22 
sensor. Data from these sensors are processed by the ESP32 microcontroller and transmitted to the https://thinger.io site via 
built-in Wi-Fi. The monitoring tool ensures accurate measurements between 21% to 95% oxygen concentration, with a 
maximum error of 4.6% and a minimum error of 0.04%. This high accuracy enhances the reliability of the CPAP bubble device 
for oxygen therapy. The study's significance lies in its contribution to neonatal care, offering a real-time monitoring system 
that facilitates prompt diagnosis and treatment. By integrating IoT and telegram notifications, healthcare professionals can 
remotely monitor and respond to the baby's condition, improving overall care quality. This innovative tool holds promise in 
enhancing neonatal care, ensuring optimal oxygen therapy, and supporting the well-being of infants receiving CPAP bubble 
therapy. Implications of this study are promising in terms of improving neonatal care, enhancing the reliability of CPAP 
devices, and leveraging technology to facilitate better healthcare practices for the most vulnerable population: premature and 
critically ill infants.