Publicly Funded Projects

CARE-BP

Funded by: Daimler und Benz Stiftung

Period: 03/2025 - 02/2027

Fluctuations in blood pressure and especially high blood pressure can have serious health consequences, but often remain undetected. In this project, an inconspicuous sensor system integrated into the patient's bed is being developed for continuous monitoring of blood pressure trends without the aid of the usual cuff (sphygmomanometer). By combining multimodal, innovative and non-disturbing measurement methods, parameters are collected that allow conclusions to be drawn about the development of blood pressure. The aim is to enable trouble-free, patient-friendly monitoring of blood pressure trends in everyday clinical practice for an optimum assessment of the patient's condition.

HypAFib

Funded by: DFG

Period: 11/2023 - 10/2026

The aim of this project is to develop a patient bed that can measure vital signs such as heart rate and respiratory rate unobtrusively. To achieve this, sensors will be integrated into the mattress, and cameras will be mounted above the patient's bed. Continuous monitoring of vital signs should enable early detection of atrial fibrillation.

NeuroSys II

Funded by: BMBF

Period: 01/2025 - 12/2027

The NeuroSys (neuromorphic systems) project aims to make Germany a world-leading location for the development of neuromorphic hardware. To this end, many institutions from science (such as RWTH Aachen University), industry and society have joined forces to cover research and development as well as production, application and ethics. The fields of application of artificial intelligence are diverse, and intelligent systems are increasingly expected to be used in mobile devices. Instead of having to limit performance in such a case, the focus here is on the development of hardware that is to be explicitly designed for the implementation of neural networks ("neuromorphic") and will therefore be significantly more efficient than, for example, conventional general processing units (GPUs). The Chair of Medical Information Technology is working on the application of these novel structures in the field of camera- and deep learning-based diagnostics.

Smart Walker

Funded by: BMWK (ZIM)

Period: 01/2025 - 06/2027

The aim of this ZIM project is to develop a functionalised rollator that will lead to a leap in innovation in this market segment. Sensors are used to record vital parameters and analyse movement patterns during use. Based on this data, the drive power is automatically adapted to the support requirements. This approach addresses an adaptive biofeedback system that helps to maintain and gradually extend the user's mobility radius. In this way, the degree of independence and social participation is increased.

SmartPPGI

Funded by: BMWK (ZIM)

Period: 01/2023 - 09/2025

This project aims to develop a non-invasive monitoring system for arterial and venous blood to estimate oxygen consumption and further detect venous circulatory diseases. For that, photoplethysmography (PPG) is used, a technique in which the skin is illuminated with two specific wavelengths to distinguish the absorbing properties of oxygenated and deoxygenated hemoglobin. PPG is obtained using contact-based sensors and video images from a commercial webcam, enabling a spatially resolved blood dynamics analysis.