Blynk-Integrated IoT Framework for Real-Time Telemonitoring of Neonatal Weight, SpO2, and Other Parameters with Instant Alerts

The objective of this study is to develop an IoT-enabled neonatal incubator monitoring and alert system that supports remote supervision of infant health. The proposed framework is organized into three core units: a sensor module for biomedical and environmental measurements, a microcontroller for data acquisition and processing, and a cloud-based IoT platform for visualization and notification. The system continuously tracks essential parameters including blood oxygen saturation, heart rate, body temperature, weight, ambient temperature, and humidity within the incubator chamber. Data are transmitted via the NodeMCU microcontroller to the Blynk IoT platform, where they are displayed through a user- friendly graphical interface accessible on both mobile and desktop applications. This allows physicians, nurses, and parents to observe the infant’s condition in real time and receive immediate alerts in case of abnormal readings. The design emphasizes cost-effectiveness, scalability, low latency, and adaptability, making it a practical solution for telemedicine and neonatal healthcare. Experimental results validate the system’s capability to reliably monitor and transmit data, confirming its potential as a smart healthcare tool.