EMBC 2025 in Copenhagen: Medical informatics in international dialog
Last week, a delegation from the Department of Medical Informatics attended EMBC 2025 (IEEE Engineering in Medicine and Biology Society) at the Bella Center Copenhagen (Denmark) - one of the world's largest conferences in the field of digital health research.
The conference offered a wide range of insights into current developments in the processing of biomedical signals, machine learning and clinical applications. Researchers from the Institute of Medical Informatics presented the following papers:
- Philip Hempel: Adapting 12-lead ECG AI Model to 1-lead Smart Watches for Diagnosis in Clinical Heart Failure Patients
- Paul Gräve: Using EEG Frequency Attributions to Explain the Classification of a Deep Neural Net for Sleep Staging
- Tabea Steinbrinker: Sex Differences in ECG-Based Age Prediction: Towards Equitable Cardiovascular Risk Assessment
- Lennart Graf: Towards Atrial Fibrillation Detection in ECGs of Pacemaker Patients without Labeled Data
- Angelika Bader: Feasibility of Time Delay Stability Analysis of Physiological Signals Acquired During Short-Time 3T Magnetic Resonance Imaging
- Sebastian Schmale: Curriculum Learning Using Real and Simulated Data in Deep Learning Models for Electrocardiography Classification
In addition to our own contributions, the focus was on professional exchange with international colleagues - including well-known groups from Budapest, Dresden and Ulm. In addition, many new international contacts provided exciting points of contact for future projects.
Taking part in EMBC 2025 was a valuable opportunity for our institute to showcase current research and gain new impetus for future projects.