Digital Twin System for Realistic Radar Optimization in Healthcare Monitoring

This paper presents a digital twin system for radarbased healthcare monitoring applications. Unlike traditional simulations that focus on individual components, this system replicates the complete radar setup, including antenna designs, circuits, environmental factors, and human movements. By simulating real-world scenarios, such as people moving in healthcare spaces, it offers valuable insights for optimizing radar parameters. The results demonstrate improved performance in applications like fall detection and people counting, while reducing deployment risks and costs. This approach supports scalable and adaptable radar solutions for complex healthcare environments.