Augmented Vision-Enabled Digital Twin System for Real-Time ICU Patient Monitoring and Emergency Response

Augmented Vision-Enabled Digital Twin System for Real-Time ICU Patient Monitoring and Emergency Response

Ajith Kumar D1, R Rajesh1 , Dayalin Subi J2, Thiruvazhimarba Pillai2

1ajith.biomedical@gmail.com,1rajeshpothi@gmail.com, 2dayalinsubi@gmail.com, 2thiruvazhi69@gmail.com

Deparment of biomedical Engineering, Loyola Instituteof Technology and Science

Abstract:

This project introduces a real-time health monitoring system for ICU emergency patients, leveraging Digital Twin (DT) technology integrated with Augmented Vision (AV). The proposed system enables early screening and rapid identification of high-risk individuals using a unique DT-based AV code assigned to each patient. Upon hospital admission for critical conditions such as cardiac or pulmonary emergencies, patients receive wearable biomedical sensors and an AV code printout, which facilitates swift ICU admission. The sensor data is continuously uploaded to a centralized server via IoT. When urgent care is needed, medical personnel can scan a patient's DT AV code using a dedicated AV camera system. The DT Vision Software instantly retrieves the patient's real-time sensor data and displays it in a visual format. This includes color-coded imagery: green Digital Twin images for stable patients and red Medical Reality (MR) images for patients showing signs of severe lung conditions. This system allows healthcare providers to prioritize treatment effectively, potentially saving lives through faster and more informed decision-making