Development of a Web-Based Health Monitoring System for Neonates

Premature birth is a global health concern, contributing to a significant portion of infant mortality worldwide. Preterm infants require specialized care but the current neonatal infrastructure often lacks remote and real-time monitoring. To address these challenges, a web-based health monitoring system was developed. The system incorporates a NodeMCU-ESP8266 microcontroller as the central component that processes data from a temperature sensor (DS18B20), a pulse rate and oxygen saturation sensor (MAX30100), and a weight sensor (load cell with HX711) and communicates these sensors' data with a web server for visualization via built-in WiFi connectivity. Experimental testing revealed the system’s responsiveness with the DS18B20 measuring an average temperature of 36.545℃ with 97% accuracy and an error of 0.0713. The MAX30100 recorded an average SPO2 of 93.75% and an average heart rate of 99.325BPM, with accuracies of 96% and 71% respectively, and errors of 2.9369 and 2.8879. The load cell with HX711 measured an average weight of 2.39kg with 96% accuracy and an error of 0.0552. All acquired data were successfully uploaded to the web server at 15s intervals for remote monitoring. In conclusion, the implementation demonstrated responsiveness and the reliability of the sensors and the successful transmission of the data to the web server which aims at premature care through continuous monitoring of their vital signs. Keywords: Preterm Births, Neonatal Intensive Care Unit (NICU), Remote Monitoring, Sensor Integration, Real-time Communication DOI: 10.7176/ISDE/14-1-08 Publication date: October 30 th 2024

Publication Details

Published
2024-10-01
DOI
https://doi.org/10.7176/isde/14-1-08
Primary Topic
Context-Aware Activity Recognition Systems
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article
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article

Development of a Web-Based Health Monitoring System for Neonates

Context-Aware Activity Recognition Systems
article

Development of a Web-Based Health Monitoring System for Neonates

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Abstract

Premature birth is a global health concern, contributing to a significant portion of infant mortality worldwide. Preterm infants require specialized care but the current neonatal infrastructure often lacks remote and real-time monitoring. To address these challenges, a web-based health monitoring system was developed. The system incorporates a NodeMCU-ESP8266 microcontroller as the central component that processes data from a temperature sensor (DS18B20), a pulse rate and oxygen saturation sensor (MAX30100), and a weight sensor (load cell with HX711) and communicates these sensors' data with a web server for visualization via built-in WiFi connectivity. Experimental testing revealed the system’s responsiveness with the DS18B20 measuring an average temperature of 36.545℃ with 97% accuracy and an error of 0.0713. The MAX30100 recorded an average SPO2 of 93.75% and an average heart rate of 99.325BPM, with accuracies of 96% and 71% respectively, and errors of 2.9369 and 2.8879. The load cell with HX711 measured an average weight of 2.39kg with 96% accuracy and an error of 0.0552. All acquired data were successfully uploaded to the web server at 15s intervals for remote monitoring. In conclusion, the implementation demonstrated responsiveness and the reliability of the sensors and the successful transmission of the data to the web server which aims at premature care through continuous monitoring of their vital signs. Keywords: Preterm Births, Neonatal Intensive Care Unit (NICU), Remote Monitoring, Sensor Integration, Real-time Communication DOI: 10.7176/ISDE/14-1-08 Publication date: October 30 th 2024

Gender equality
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Context-Aware Activity Recognition Systems
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