Engineering for Health
Welcome to the web page of the Institute of Biomedical Engineering (IBT) at Karlsruhe Institute of Technology (KIT). For more than 50 years we have been active in research and teaching in the field of biomedical engineering.
In interdisciplinary projects together with medical doctors and medical industry, we investigate new technical systems that help to diagnose diseases earlier and more accurately as well as systems that make therapies more successful.
The main focus of the research program of Prof. Dr. Werner Nahm's group is optical systems in medicine and life sciences. Current projects are focussing on surgical visualization and optical diagnosis [more].
The group of PD Dr. Axel Loewe develops computational models of the heart and applies them to cardiological problems. We focus on cardiac electrophysiology and elastomechanics to contribute to answer clinical questions such as the genesis of e.g. cardiac arrhythmias and appropriate treatment strategies [more].
The main focus of the research program of Prof. Dr. Olaf Dössel was the analysis of biosignals from the heart (ECG and electrograms) and the imaging of electrophysiological sources in the heart (ECG imaging) [more].
On March 19th and 20th 2024, the Institute of Biomedical Engineering is hosting an in person Software Carpentry workshop, primarily open to graduate students and research staff at KIT.More
This open access book has brought together 138 experts in In Silico Trials working in academia, the medical industry, regulatory bodies, hospitals, and consulting firms. Through a consensus process, these experts produced the first attempt to define some Good Simulation Practices on how to develop, evaluate, and use In Silico Trials. Good Simulation Practice constitutes an indispensable guide for anyone who is planning to engage at any title with In Silico Trials. IBT researcher Axel Loewe has co-edited the chapters Model Development and The Investigator: Modellers and Analysts.More
On January 29, the KIT Center for Health Technologies presented itself to the Karlsruhe city society in the city hall. KIT Distinguished Senior Fellow Prof. Dössel gave a lecture on "Artificial Intelligence and Machine Learning in Medicine".More
Together with our collaborators at the Institute for Applied and Numerical Mathematics, we investigated the impact of modeling choices such as mesh size, incompressibility constraint, active strain or active stress as well as the choice of the damping scheme. Click here to learn about our findings: https://onlinelibrary.wiley.com/doi/10.1002/gamm.202370010More
The Institute of Biomedical Engineering welcomes Silvia Becker as a new research associate. Since January 2024, she has been working on the analysis of ECG data using machine learning within the “Computational Cardiac Modeling” research group.
Silvia Becker completed a master’s degree in electrical and information technology at the KIT. Her research topics focused on machine learning and heart simulations.
Which effects does the mechanical activation of the heart cause on the electrical control of cardiac rhythm and excitation? Using the fully coupled electro-mechanical computer model of the heart developed at IBT, we showed that mechano-electric feedback changes activation and repolarization patterns throughout the heart during sinus rhythm and leads to a markedly more heterogeneous electrophysiological substrate. Read the full study published open access in The Journal of Physiology.More