Baby Incubator Monitoring Center Using Wi-Fi Network for Data Transmission

Abstract

Premature babies born before 38 weeks have a high risk of dying, requiring urgent care. Premature babies receiving intensive care in incubators need certain temperature, humidity, and a quiet room. In addition, the baby should also be ensured that his body temperature remains normal during the treatment period. Based on the condition of these vulnerable babies, it is very necessary to have a temperature monitoring system in the incubator. Therefore, the purpose of this research is to develop a baby incubator monitoring system that still uses the manual method to make it faster, easier, and more practical. This module is a tool that works independently and is not part of the baby incubator. Therefore, any brand of the incubator can be monitored using this module. The system in this module is wireless and uses a Wi-Fi network for data transmission. By using several ESP32 modules assembled into a central system, the data obtained from monitoring each sensor will be processed by the ESP32 which functions as a client, and collected at the central point of the ESP32 which functions as a server using the internal wifi network of the ESP32 itself as data transmission. The data from the server will subsequently be shown on the TFT Nextion display. Based on the overall measurement results using 2 baby incubators, the highest error values ​​were 1.387% for the incubator temperature parameter, 3.911% for the skin temperature parameter, 10.5% for the humidity parameter, and 25.692% for the noise parameter. The results showed that the module that was made still contained errors in each measurement. The results of this study will assist nurses in more simply and swiftly monitoring premature newborns.

Monitoring Baby Incubator Central through Internet of Things (IoT) based on Raspberry Pi Zero W with Personal Computer View

“…The leading global cause of infant mortality is preterm birth. About 15 million babies are preterm each year [1][2] [3] Different nations have different preterm infant death causes. The increased PB prevalence in underdeveloped nations is often linked to hunger and illness (malaria, HIV).…”

Monitoring Baby Incubator Central through Internet of Things (IoT) based on Raspberry Pi Zero W with Computer Monitoring)

“…However, this software does little more than record environmental conditions. Deny Alfredo Tampubolon and Nuristadarro developed the "Baby Incubator Monitoring Center via WiFi Network" in 2020, they saw the measured parameters on a Nextion display [17]. The most current research of Raulina Naura Salsabila and Lutfia Nur Fadila (2021) is titled "Monitoring Baby Incubator Through ESP32-Based WiFi Network."…”