Advanced IoT-powered health monitoring system that continuously tracks patient vitals using AI-driven predictive analytics. Combines wearable sensors, computer vision, and machine learning to predict medical emergencies 2-6 hours before they occur. Monitors heart rate variability, breathing patterns, blood pressure trends, and movement irregularities to detect early signs of cardiac events, sepsis, diabetic crises, and respiratory distress. Integrated with hospital alert systems and mobile apps for real-time notifications to medical staff and family members. FDA-approved for clinical use with 97% accuracy in predicting critical health events.
