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). On the international level, she is active in the IEEE Engineering in Medicine and Biology Society (EMBS) and chairs the German EMBS Chapter.
Presentations
Presentations in 2024
01/2024: Department of Numerical Analysis, Eötvös-Loránd-Universität Budapest, Invited talk (Dr. Nicolai Spicher)
02/2024: Workshop Biosignale, Poster (Sebastian Schmale)
02/2024: Workshop Biosignale, Vortrag (Tabea Steinbrinker)
03/2024: Faculty of Informatics, Eötvös-Loránd-Universität Budapest, Invited talk (Dr. Nicolai Spicher)
Presentations in 2023
03/2023: SIAM Conference on Computational Science and Engineering, Talk (Dr. Nicolai Spicher)
05/2023: Medical Informatics Europe 2023, Talk (Theresa Bender)
06/2023: CIDAS Data Science Kolloquium, Talk (Dr. Nicolai Spicher)
07/2023: 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Panel (Dr. Nicolai Spicher)
08/2023: 2nd IEEE German Education Conference, Talk (Theresa Bender), Workshop (Dr. Nicolai Spicher)
09/2023: 68. Jahrestagung der GMDS, Organized session (Dr. Nicolai Spicher), Poster (Asmus Bart), Poster (Dr. Ennio Idrobo-Avila),
09/2023: 57. Jahrestagung der DGBMT, Talk (Theresa Bender), Vortrag (Dr. Henning Dathe), Poster (Philip Gemke), Organized session (Dr. Nicolai Spicher)
09/2023: YDZHK Retreat, Poster (Philip Gemke), Poster (Dr. Nicolai Spicher)
10/2023: CINC 2023, Poster (Philip Gemke), Poster (Philip Zaschke)
11/2023: Institut für Medizinische Statistik, Informatik und Datenwissenschaften des Universitätsklinikum Jena, Invited talk (Dr. Nicolai Spicher)
11/2023: Ubiquitous Computing Lab, HTWG Konstanz, Invited talk (Dr. Nicolai Spicher)
12/2023: Jahrestagung der Deutschen Gesellschaft für Schlafforschung und Schlafmedizin, Invited talk (Theresa Bender)
12/2023: IEEE EMBS International Conference on Data Science and Engineering in Healthcare, Medicine & Biology, Poster (Philip Gemke)
12/2023: IEEE EMBS Tunisia North Africa Forum on Healthcare Innovations, Invited talk (Dr. Nicolai Spicher)
Presentations in 2022
08/2022: GMDS Annual Meeting, Poster (Theresa Bender)
08/2022: Workshop Biosignals, Keynote (Dr. Nicolai Spicher)
09/2022: Computing in Cardiology, Poster (Dr. Nicolai Spicher)
09/2022: YDZHK Retreat, Talk (Dr. Nicolai Spicher)
09/2022: Infinity Conference, Poster (Dr. Nicolai Spicher) / Talk (Theresa Bender)
09/2022: Joint Annual Conference of the Austrian, German and Swiss Societies for Biomedical Engineering, Talk (Theresa Bender) / Organized session (Dr. Nicolai Spicher)
Teaching
The group offers the course "Biosignal Processing" in the winter semester in the B.Sc. programs Applied Computer Science, Data Science and the course "Medical Signal and Image Processing" in the M.Sc. degree programs. 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.
Projects
SOMNOLINK
SOMNOLINK - Connected sleep data and decision support along the patient pathway for better care
Duration: 2024 to 2028
Funded by the Federal Ministry of Education and Research
PRE-HF-ML
PRE-HF-ML - Predicting heart failure recovery by wearables and machine learning (DZHK Startup Grant)
Duration: 2024
Funded by the German Center for Cardiovascular Diseases (DZHK)
CIDAS Project Funding
CIDAS Project Funding - Multimodal assessment of infant neuromotor function via network physiology
Duration: 2024 to 2025
Funded by the Campus Institute for Data Science (CIDAS)
Awards
- International Summer School BIO-X Fellowship 2023 (Dr. Idrobo-Avila)
- GGNB Travel Grant 2023 (Philip Gemke)
- DAAD RISE Funding 2023 (Theresa Bender)
- GWDG Data Science Summer School 2023 (Philip Zaschke)
- George B. Moody PhysioNet Challenge 2023 best team name
- George B. Moody PhysioNet Challenge 2023 placement 8
- Physiological Measurement: Outstanding Reviewer (Dr. Nicolai Spicher)
- DAAD RISE Funding 2024 (Philip Hempel)
Publications
- Nolte H, Spicher N, Russel A, Ehlers T, Krey S, Krefting D, Kunkel J. Secure HPC: A workflow providing a secure partition on an HPC system. Future Generation Computer Systems. 2022; 141:677-691.
- Bender T, Gemke P, Idrobo-Avila E, Dathe H, Krefting D, Spicher N. Benchmarking the Impact of Noise on Deep Learning-based Classification of Atrial Fibrillation in 12-Lead ECG. In: 33rd Medical Informatics Europe Conference , Gothenburg, Sweden; 2023.
- Gemke P, Spicher N, Kacprowski T. Developing an LSTM-based Listener for Early Detection of Heart Disease. In: Proceedings of the 49th Computing in Cardiology conference, Tampere, Finland; 2022.
- Bender T, Beinecke JM, Krefting D, Müller C, Dathe H, Seidler T, Spicher N, Hauschild AC. Analysis of a Deep Learning Model for 12-Lead ECG Classification Reveals Learned Features Similar to Diagnostic Criteria. IEEE Journal of Biomedical and Health Informatics. 2023
- Dathe H, Krefting D, Spicher N. Completing the Cabrera Circle: Deriving adaptable leads from ECG limb leads by combining constraints with a correction factor. Physiological Measurement. 2023.
- Bender T, Krefting D, Jensen C, Spicher N. Introducing Social Gamification to a Biomedical Signal Processing Course: A Case Study. In: Proceedings of 2023 IEEE 2nd German Education Conference (GECon), Berlin, Germany; 2023.
- Bönisch C, Hanß S, Spicher N, Sax U, Krefting D. Reusing Biomedical Data as Agreed - Towards Structured Metadata for Data Use Agreements. In: 68th Annual Conference of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS 2023), Heilbronn, Germany; 2023.
- Gomez JT, Spicher N, Rios J, Dressler F. Fine-tune Circuit Representation of Human Vessels through Reinforcement Learning: A Novel Digital Twin Approach for Hemodynamics. In: 10th ACM International Conference on Nanoscale Computing and Communication (Nanocom 2023), Coventry, UK; 2023.
- Hempel P, Zaschke P, Goldammer M, Spicher N. Fusion of Features with Neural Networks for Prediction of Secondary Neurological Outcome After Cardiac Arrest. In: 50th Computing in Cardiology conference (CINC), Atlanta, USA; 2023.
- Gemke P, Bender T, Idrobo-Avila E, Dathe H, Krefting D, Kacprowski T, Spicher N. Quantifying Alterations over Time in ST-segment/T-wave Amplitudes During Elective Percutaneous Coronary Intervention. In: 50th Computing in Cardiology conference (CINC), Atlanta, USA; 2023.
- Hempel P, Bender T, Gandhi K, Spicher N. Towards Explaining Deep Neural Network-Based Heart Age Estimation. In: 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, Portomaso, Malta; 2023
Idrobo-Ávila E, Bognár G, Krefting D, Penzel T, Kovács P, N. Spicher. Quantifying the Suitability of Biosignals Acquired During Surgery for Multimodal Analysis. IEEE Open Journal of Engineering in Medicine and Biology. 2024
PhD Theses
- Bender T: Toward Trustworthiness of Deep Learning Models for 12-Lead ECGs. 2024
Team
contact information
- telephone: +49 551 3961527
- e-mail address: theresa.bender(at)med.uni-goettingen.de
- ORCiD: https://orcid.org/0000-0001-6721-7034
contact information
- telephone: +49 551 3961635
- e-mail address: hanning.dathe(at)med.uni-goettingen.de
- ORCiD: https://orcid.org/0000-0003-0433-4529
contact information
- telephone: +49 551 3961506
- e-mail address: nicolai.spicher(at)med.uni-goettingen.de
- ORCiD: https://orcid.org/0000-0002-2879-9948
contact information
- e-mail address: tabea.steinbrinker(at)med.uni-goettingen.de
Students, assistants and graduates
Students
- Paul Gräve
- Nina Scheiter
Assistants
- Sebastian Schmale
- Asmus Barth
- Sabine Bader
Graduates
- Susann Bozkir (HAWK M.Eng. 2023)
- Keshav Gandhi (DAAD RISE 2023)
- Meike Knull (Trainee 2023)
- Luca Limburg (Trainee 2023)
- Robin Giese (Trainee 2023)
- Philip Zaschke (M.Sc. 2023)
- Tabea Steinbrinker (M.Sc. 2023)
- Leon Reimers (B.Sc. 2023)
Contact
contact information
- telephone: +49 551 3961506
- e-mail address: nicolai.spicher(at)med.uni-goettingen.de
- ORCiD: https://orcid.org/0000-0002-2879-9948