Development and evaluation of sensor-driven, multimodal patient communication and diagnosis tools and healthcare personnel stress analysis in the modernized clinical environments.
As part of SEMECO this application project focuses on the development and validation of sensor-based and communication-driven solutions to support clinical processes. This project aims to make location and sensor data interpretable and usable by clinicians.
Key project achievements include the the “DigiBell” study, aimed at assessing stress exposure among nursing staff using subjective reports and objective measures like ECG and hair steroid levels. This analysis sets the baseline for future evaluation of inter alia stress induced by digital interventions.
UWB-based tracking infrastructure and sweat sensor patches for electrolytes are implemented and evaluated in the “SensoLoc” study. This study investigates movement patterns as indicators of hepatic encephalopathy in liver disease patients and validates patch sensor accuracy to further non-invasive diagnostics. The technical setup required the creation of a dedicated virtual network (VLAN), jointly developed with UKD IT. This “Living Lab” infrastructure is expanded to a second clinical site (orthopedic surgery), enabling early testing in new environments.
Collaboration meetings and successful exchanges with other SEMECO projects underscore the project’s integration and momentum. The results contribute foundational insights for real-world application of UWB and sensor-based health technology.
- Magdalena Wekenborg | TUD Dresden University of Technology, Else Kröner Fresenius Center for Digital Health
- Jonas Steinhäuser | TUD Dresden University of Technology, Else Kröner Fresenius Center for Digital Health
- Ingo Gurcke | Marsh Medical Consulting GmbH
- Erik Mademann | ZIGPOS GmbH
