TY - JOUR
T1 - Medical Digital Twin and IoT Devices: Monitoring Patients Through Human-Centered Technologies
AU - Araniti, Giuseppe
AU - Garibotto, Chiara
AU - Jose, Abey
AU - Marcello, Francesca
AU - Pilloni, Virginia
AU - Sciarrone, Andrea
AU - Suraci, Chiara
AU - Zema, Pietro
AU - Zerbino, Matteo
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2025/7
Y1 - 2025/7
N2 - The healthcare landscape is undergoing a transformative shift driven by the rapid advancements of sixth-generation (6G) cellular networks and Internet of Things (IoT) technologies. This convergence has led to the emergence of medical digital twins (MDTs) - innovative virtual replicas of physical entities or processes. MDTs enable safe monitoring and testing of therapeutic decisions, resulting in substantial cost savings and enhanced decision-making capabilities for physicians. Furthermore, they provide real-time assistance and facilitate comprehensive data analysis, revolutionizing patient care. However, their full potential is constrained by the intricate nature of human life cycles. Key factors include the choice of data types and the communication protocols used to connect physical and digital twins. For individuals with disabilities, integrating wearable devices with edge computing and WiFi-based Channel State Information (CSI) can effectively monitor health metrics and recognize activities. Although the integration of 6G and IoT technologies holds the promise of enabling seamless communication between physical and digital twins, this paper, which is developed in the framework of the HIPPOCRATES project, focuses on a currently implementable architecture for MDTs based on the Message Queuing Telemetry Transport (MQTT) protocol. The proposed system integrates CSI to augment health monitoring and intervention, particularly for individuals with disabilities.
AB - The healthcare landscape is undergoing a transformative shift driven by the rapid advancements of sixth-generation (6G) cellular networks and Internet of Things (IoT) technologies. This convergence has led to the emergence of medical digital twins (MDTs) - innovative virtual replicas of physical entities or processes. MDTs enable safe monitoring and testing of therapeutic decisions, resulting in substantial cost savings and enhanced decision-making capabilities for physicians. Furthermore, they provide real-time assistance and facilitate comprehensive data analysis, revolutionizing patient care. However, their full potential is constrained by the intricate nature of human life cycles. Key factors include the choice of data types and the communication protocols used to connect physical and digital twins. For individuals with disabilities, integrating wearable devices with edge computing and WiFi-based Channel State Information (CSI) can effectively monitor health metrics and recognize activities. Although the integration of 6G and IoT technologies holds the promise of enabling seamless communication between physical and digital twins, this paper, which is developed in the framework of the HIPPOCRATES project, focuses on a currently implementable architecture for MDTs based on the Message Queuing Telemetry Transport (MQTT) protocol. The proposed system integrates CSI to augment health monitoring and intervention, particularly for individuals with disabilities.
UR - https://doi.org/10.1109/MIOT.2025.3591039
U2 - 10.1109/MIOT.2025.3591039
DO - 10.1109/MIOT.2025.3591039
M3 - Article
VL - 8
SP - 107
EP - 114
JO - IEEE Internet of Things Magazine
JF - IEEE Internet of Things Magazine
IS - 6
ER -