6G-SANDBOX

The HART project is advancing future 6G-enabled eHealth through the integration of AI-driven, contactless health monitoring and advanced wireless networks. Led by Sykno GmbH and the Huawei Munich Research Center, it focuses on vertical experimentation using Wireless Radio Sensing (WRS) via Sykno’s ViRa24 vital sign radar system. This non-invasive technology uses mmWave signals to measure human vital signs – such as heart rate, respiration, heart rate variability, inter-beat intervals, and heart sounds – without physical contact, even through clothing. In scenarios like hospital waiting rooms or patient homes, WRS nodes anonymously monitor multiple patients, with data transmitted in real time over 5G/6G networks to a centralised computing platform. AI algorithms analyze the data to detect abnormalities and trigger timely medical alerts. The system supports scalable monitoring with high reliability and ultra-low latency – crucial for emergency response. Compared to traditional ECG, HART's approach reduces staff workload

and improves hygiene by eliminating electrodes. It also enhances privacy by avoiding cameras and personal data collection, aligning with 6G trust and security standards.
The HART project advanced eHealth by developing and evaluating wireless radar sensors for contactless monitoring of vital signs like heart rate and respiration. In a lab trial, these sensors delivered accurate data through AI-powered signal processing, capturing detailed cardiac and respiratory patterns. The performance of the 5G network used to connect sensor, processing and display nodes was evaluated using KPIs and KVIs, showing reliable traffic patterns, strong clustering (Silhouette score up to 0.6515), and high peak similarity (up to 0.9631).

Techniques like Dynamic Time Warping and K-Means Clustering modeled traffic behaviors effectively, though clustering robustness showed room for improvement. Data privacy was ensured via end-to-end encryption, secure protocols, and GDPR compliance