Dr. Ing. Gunnar Seemann
Head of Computational ModellingResearch Interests:
- Functional modelling of the heart including electrophysiology, propagation, tension development, deformation and electromechanical interactions from protein to ECG
- Precise modelling of physiological function of the atria and ventricles to enable a predictive value of pathological descriptions (e.g. atrial fibrillation, ischemia, genetic defects, and drug effect)
- Heterocellular interaction modelling (myocytes and fibroblasts)
- Optogenetic modelling
Brief CV
Gunnar Seemann studied Electrical Engineering and Information Technology at the Universität Karlsruhe (TH) (1994-2000). At the Institute of Biomedical Engineering of the Karlsruhe Institute of Technology (KIT) he started to work on computational modelling of the cardiac function for his diploma thesis (2000), which he continued for his PhD thesis ‘Modelling of Electrophysiology and Tension Development in the Human Heart’ (2005). Following this, he stayed as an assistant and later on as an associate professor and research group leader at the Institute of Biomedical Engineering at KIT (2005-2015). From 2016-2020 Gunnar Seemann was the head of the Computational Modelling section at the IEKM in Freiburg.
Selected Publications
- Greiner J, Sankarankutty AC, Seemann G, Seidel T, Sachse FB. Confocal Microscopy-Based Estimation of Parameters for Computational Modeling of Electrical Conduction in the Normal and Infarcted Heart. Front Physiol 2018/9:239
- Hulsmans M [...] Wülfers EM, Seemann G [...] Kohl P [...] Nahrendorf M. Macrophages Facilitate Electrical Conduction in the Heart. Cell 2017/169(3):510-522.e20
- Decher N [...] Seemann G, Peyronnet R [...] Kohl P [...] Schulze-Bahr E. Sodium permeable and "hypersensitive" TREK-1 channels cause ventricular tachycardia. EMBO Mol Med 2017/9(4):403-414
- Loewe A, Wilhelms M, Schmid J, Krause MJ, Fischer F, Thomas D, Scholz EP, Dössel O, Seemann G. Parameter Estimation of Ion Current Formulations Requires Hybrid Optimization Approach to Be Both Accurate and Reliable. Front Bioeng Biotechnol 2016/3:209
- Fritz T, Wieners C, Seemann G, Steen H, Dössel O. Simulation of the contraction of the ventricles in a human heart model including atria and pericardium : Finite element analysis of a frictionless contact problem. Biomechanics and Modeling in Mechanobiology, 2014/13(3):627-641
- Loewe A, Lutz Y, Wilhelms M, Sinnecker D, Barthel P, Scholz EP, Dössel O, Schmidt G, Seemann G. In-silico assessment of the dynamic effects of amiodarone and dronedarone on human atrial patho-electrophysiology. Europace 2014/16(4):iv30-iv38
- Scholz P, Carrillo-Bustamante P, Fischer F, Wilhelms M, Zitron E, Dössel O, Katus HA, Seemann G. Rotor termination is critically dependent on kinetic properties of I kur inhibitors in an in silico model of chronic atrial fibrillation. PloS one 2013/8(12):e83179
- Keller DUJ, Weiss DL, Dössel O, Seemann G. Influence of I(Ks) heterogeneities on the genesis of the T-wave: a computational evaluation. IEEE Trans. Biomed. Engineering 2012/59(2):311-322
- Weber FM, Luik A, Schilling C, Seemann G, Krueger MW, Lorenz C, Schmitt C, Dössel O. Conduction velocity restitution of the human atrium-an efficient measurement protocol for clinical electrophysiological studies. IEEE Transactions on Biomedical Engineering 2011/58(9):2648-2655
- Clayton RH, Bernus O, Cherry EM, Dierckx H, Fenton FH, Mirabella L, Panfilov AV, Sachse FB, Seemann G, Zhang H. Models of cardiac tissue electrophysiology: progress, challenges and open questions. Prog Biophys Mol Biol 2011/104(1-3):22-48
- Weiss DL, Ifland M, Sachse FB, Seemann G, Dössel O. Modeling of cardiac ischemia in human myocytes and tissue including spatiotemporal electrophysiological variations. Biomedizinische Technik 2009/54(3):107-125
- Seemann S, Höper C, Sachse FB, Dössel O, Holden AV, Zhang H. Heterogeneous three-dimensional anatomical and electrophysiological model of human atria. Philos Trans A Math Phys Eng Sci 2006/364(1843):1465-1481