Our group focuses on understanding the principles of complex dynamics of biological systems at the cell, tissue and organ level and their application in medicine.
Life-threatening cardiac rhythm disorders such as ventricular fibrillation are associated with complex, self-organizing spatio-temporal electromechanical excitation of the heart. We are developing novel cardiac imaging techniques, numerical simulations and machine learning methods to understand and efficiently control the dynamics of electromechanical waves in the heart muscle (Nature 2018, 2011).
Our translational research group is affiliated with the Max Planck Institute for Dynamics and Self-Organization, the University Medical Center Göttingen and the German Center for Cardiovascular Research (DZHK).
Project Information Project Title: Global Carbon Cycling and Complex Molecular Patterns in Aquatic Systems: Integrated Analyses …
Self-organized complex spatial-temporal dynamics underlies dynamic physiological and pathological states in excitable biological …
Spatiotemporally chaotic wave dynamics underlie a variety of debilitating crises in extended excitable systems including the heart. …
The development of detailed physiological models of the heart, the availability of large quantities of high-quality structural and …
During cardiac fibrillation, the coherent mechanical contraction of the heart is disrupted by vortex-like rotating waves or scroll …
Characterization and classification of cardiac dynamics on the basis of measured time series (e.g. electrocardiogram, ECG) is crucial …