Affiliation:
1. Velammal College of Engineering and Technology, Madurai, India
Abstract
In neonatal care, continuous monitoring of vital signs plays a critical role in early detection of complications and ensuring timely interventions to optimize outcomes. Traditional monitoring methods often lack real-time analysis capabilities and may lead to delayed responses to deteriorating conditions. It then delves into the application of AI-powered systems for real-time analysis of vital signs such as heart rate, respiratory rate, oxygen saturation, and temperature in neonates. Through sophisticated algorithms, these systems can detect subtle changes and patterns indicative of distress or deterioration, enabling early intervention by healthcare providers. The chapter highlights the benefits of AI-powered monitoring systems, such as reduced false alarms, improved predictive capabilities, and enhanced workflow efficiency in Neonatal Intensive Care Units (NICUs).