The Biosignal Processing group develops automatic analysis methods of sensor-based physiological signals from clinical practice.
These cover the full spectrum of signal processing, from classical methods of time series analysis to data-driven deep learning methods. In addition to the development and improvement of existing diagnostic methods, the group also conducts research in the area of fundamental signal processing issues. In both basic and applied research, great emphasis is placed on reproducibility and explainability, and data as well as algorithms are made publicly available. The group also participates in clinical trials and third-party funded research projects. The focus is on the application of the developed solutions together with clinical partners (e.g. cardiology, sleep medicine, anesthesiology). Further activities of the group are in the out-of-hospital context such as the processing of privately collected data via wearables or apps.
In addition, we develop tools and platforms for collaborative research and perspective clinical practice.
Cooperation and memberships
The group is closely connected to the WG Medical Image and Signal Processing of the German Society for Medical Informatics, Biometry and Epidemiology (GMDS) as well as the Biosignals Expert Committee of the German Society for Biomedical Engineering (DGBMT). Likewise, the group is involved in the Young DZHK junior researcher network of the German Center for Cardiovascular Research (DZHK).
Activities in 2022
- Podcast "Signals for Life"
- Workshop "Biosignals" in Dresden
- Session "Signal-based risk prediction in cardiovascular diseases" at the DGBMT 2022
- Session "Image-based risk prediction in cardiovascular diseases" at the GMDS 2022
The group offers the course "Biosignal Processing" in the winter semester in the B.Sc. programs Applied Computer Science and Data Science. In addition, Bachelor's, Master's, and Ph.D. theses on our research topics are offered at any time: Topic Collection. If you are interested, please contact us.