Mrs. Namratha Dcruz

https://doi.org/10.64823/ijter.2501012

Neonates in Intensive Care Units (NICUs) require continuous monitoring of vital signs to detect early signs of distress. Traditional methods rely on human observation and wired equipment, which can lead to delayed responses and increased workload for medical staff. With advancements in Artificial Intelligence (AI) and the Internet of Things (IoT), there is growing potential to improve neonatal care through smart, real-time monitoring systems. This project involves the design and development of an AI-enabled neonatal monitoring system using IoT-based wearable sensors. These sensors measure key health parameters—heart rate, temperature, and oxygen saturation (SpO₂)—and transmit the data wirelessly for analysis. The AI component uses pattern recognition and threshold-based logic to detect anomalies and trigger alerts. A mobile application interface allows caregivers to receive notifications in real time.Preliminary simulations and prototype testing demonstrate that the system can continuously monitor vital signs and generate timely alerts. While clinical testing is pending, early evaluations suggest reduced false alarms and faster anomaly detection compared to manual methods. The proposed system offers a promising tool to support NICU staff by providing uninterrupted, intelligent monitoring of critical neonatal parameters. Once fully validated, it could enhance care efficiency, reduce human error, and improve outcomes for vulnerable newborns.