2026-05-15T14:08:22Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/111622025-12-19T01:05:40Zcom_10259_3847com_10259_5086com_10259_2604col_10259_7409col_10259_7109

00925njm 22002777a 4500 dc Marco Detchart, Cédric author Curiel Herrera, Leticia Elena author Urda Muñoz, Daniel author Rincón Arango, Jaime Andrés author 2025-11 The integration of emerging technologies such as Virtual Reality (VR), Artificial Intelligence (AI), and the Internet of Medical Things (IoMT) is transforming personalized healthcare. This work presents an innovative system that leverages the concept of digital health twins, IoMT devices, and immersive VR environments to enable real-time remote monitoring of biomedical signals (ECG, PPG, blood pressure, oxygen saturation, among others). Captured data is transmitted to centralized servers where neural networks analyze health parameters, allowing early anomaly detection and dynamic adjustment of treatment plans. The system also incorporates a cloud-connected assistant based on embedded hardware, enhancing continuous patient monitoring and interaction within both physical and virtual environments. To safeguard sensitive medical data, robust cybersecurity measures are integrated, including encrypted communications, authentication protocols, and local storage failover in case of connectivity loss. This multi-layered approach ensures patient confidentiality and system resilience. By improving diagnostic accuracy, optimizing patient experiences, and extending healthcare access to remote areas, this solution contributes to reducing overcrowding in medical facilities and enabling more equitable healthcare delivery. 978-3-032-10486-1 https://hdl.handle.net/10259/11162 10.1007/978-3-032-10486-1_46 Edge-AI Cognitive assistant Healthcare IoMT Virtual reality ML Towards Intelligent and Immersive Healthcare: Edge-AI, IoMT, and Digital Twins in the Metaverse