AI-ENHANCED TEXTILE TECHNOLOGIES FOR INFANT HEALTH AND STRESS MONITORING: AN OVERVIEW
Ms. Ameera Raiyan K, Dr. V. Bhanu Rekha, Ms. Swetha Menon N. P
Keywords: Artificial Intelligence (AI), Smart Textiles, Infant Distress Monitoring, Wearable Technology, Healthcare Applications, Real-Time Detection
Abstract
Combining artificial intelligence (AI) with smart textile technology opens new possibilities for newborn and infant healthcare, particularly in monitoring and detecting distress. Intelligent fabrics with integrated sensors continuously track physiological parameters like heart rate, breathing, temperature, oxygen saturation, and movement patterns, while AI algorithms analyze biosignals for early indicators of issues such as hypothermia, respiratory distress, SIDS, or abnormal crying. Smart wearables like swaddles, blankets, and baby clothes use flexible, biocompatible sensors for comfort, with machine learning reducing false alarms and enabling real-time telemedicine alerts.