This ZIM project is about the integration of unobtrusive measurement technology for monitoring vital parameters, such as heart rate and respiratory rate, into an emergency bed. The aim of this project is to increase the coverage of vital sign monitoring in the emergency room for patients who do not require acute monitoring, and to improve the early detection of cardiovascular complications.
MyoFusion
Funded by: DFG
Period: 09/2020 – 02/2025
To improve the estimation and control of the interactive force between robot and users, a robust algorithm for the correct estimation of muscle force or muscle torque will be developed. In this project by combining electromyography (EMG) and impedance myography (EIM). This should provide a new quantitative assessment tool for muscle activity, describing in particular the interactive force / torque development between robot and user.
NeuroSys
Funded by: BMBF
Period: 01/2022 - 12/2024
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.
SmartLungControl
Funded by: German Research Foundation ("Deutsche Forschungsgemeinschaft", DFG)
Period: 07/2021 – 06/2024
The project will explore a concept for demand-adapted control and safety monitoring of a long-term artificial lung outside the intensive care unit.
HeVAD
Funded by: German Research Foundation ("Deutsche Forschungsgemeinschaft", DFG)
Period: 10/2019 – 05/2024
In this project, physiological control algorithms for ventricular assist devices shall be developed and the resulting blood damage shall be minimized.
DIA-STIM
Funded by: German Research Foundation ("Deutsche Forschungsgemeinschaft", DFG)
Period: 02/2020 – 10/2024
The project DIA-STIM has the goal to automatically stimulate the phrenic nerve to maintain the patient’s diaphragm activity during mechanical ventilation. The nerve stimulation as well as the mechanical ventilation have to be synchronized and adjusted according to the patient’s need.
RAPID
Funded by: BMBF
Period: 10/2021 - 09/2022
Ziel des Projektes RAPID ist die Entwicklung eines Diagnose- und Monitoringsystems für die Schnelle Diagnostik von Lungenerkrankungen zur Ableitung einer patientenangepassten Therapie.
ValidEIT
Funded by: German Research Foundation ("Deutsche Forschungsgemeinschaft", DFG)
Period: 03/2020 – 04/2022
The goal of the project is validating the use of EIT (Electrical Impedance Tomography) for non-invasive lung perfusion monitoring. To this end, the heart sources of the signal are investigated through three major research vectors: animal trials, signal modelling and algorithm development. Ultimately, this knowledge can provide novel possibilities to optimize and automate bedside lung therapy.
InDiThera
Funded by: BMBF
Period: 09/2019 – 08/2022
Breast cancer is the most common type of cancer in women worldwide. Early diagnosis dramatically increases the chance of survival. However, due to various factors such as radiation exposure, many women forego the opportunity to undergo preventive medical checkups. In the project "Integration of image-guided breast cancer diagnostics with minimally invasive laser therapy" - InDiThera, a system is to be developed which allows tumors to be detected and treated without X-rays. Our chair is responsible for the imaging reconstruction with the help of electrical impedance tomography. Based on these data, malignant tumors will then be detected using machine learning methods.
SmartAvO
Funded by: BMWI (ZIM)
Period: 07/2019 - 09/2022
The goal of the ZIM project "SmartAvO" is the development of an optoelectronic-pneumatic monitoring system for the non-invasive monitoring of the peripheral arterio-venous oxygen difference.