Stef Zeemering

Post doc

Dr Stef Zeemering studied Knowledge Engineering at Maastricht University and graduated with a master in Operations Research. After working in the industry as a mathematical consultant, he went on do a PhD at Maastricht University on the topic of sparse optimisation in mathematical systems theory. After a brief return to industry as a scientific software engineer at Maastricht Instruments, he joined the Department of Physiology in 2011. As a post-doc, he investigates how we can measure and quantify the properties of atrial fibrillation (AF). He has particular interests in signal processing, parameter estimation and machine learning techniques applied to the assessment of the complexity of AF, and the prediction of AF progression and outcome, using both measurements obtained directly from the atria, as well as noninvasive measurements such as the electrocardiogram (ECG).

Recently, he started to develop and implement a systems biology approach to the understanding of AF, which is aimed at linking differences in atrial gene expression profiles, as determined by next generation RNA sequencing, to tissue characteristics and patient phenotype. His ambition is to develop a multiscale, patient-specific understanding of AF: starting from the genome and atrial tissue characteristics, all the way up to the electrophysiological properties of the conduction on the atrium and the projection of these conduction patterns on the body surface of a patient, as measured by the ECG.

Department of Physiology
Universiteitssingel 50, 6229 ER Maastricht
PO Box 616, 6200 MD Maastricht
Room number: 3.108
T: +31(0)43 388 13 20


  • 2021
    • Hermans, A. N. L., Pluymaekers, N. A. H. A., Lankveld, T. A. R., van Mourik, M. J. W., Zeemering, S., Dinh, T., den Uijl, D. W., Luermans, J. G. L. M., Vernooy, K., Crijns, H. J. G. M., Schotten, U., & Linz, D. (2021). Clinical utility of rhythm control by electrical cardioversion to assess the association between self-reported symptoms and rhythm status in patients with persistent atrial fibrillation. IJC Heart and Vasculature, 36, [100870].
    • van Hunnik, A., Zeemering, S., Podziemski, P., Kuklik, P., Kuiper, M., Verheule, S., & Schotten, U. (2021). Bi-atrial high-density mapping reveals inhibition of wavefront turning and reduction of complex propagation patterns as main antiarrhythmic mechanisms of vernakalant. EP Europace, 23(7), 1114-1123.
    • Dudink, E. A. M. P., Bidar, E., Jacobs, J., van Hunnik, A., Zeemering, S., Weijs, B., Luermans, J. G. L. M., Maesen, B. A. E., Cheriex, E. C., Maessen, J. G., Hoorntje, J. C. A., Schotten, U., Crijns, H. J. G. M., & Verheule, S. (2021). The relation between the atrial blood supply and the complexity of acute atrial fibrillation. IJC Heart & Vasculature, 34, [100794].
    • Gilbers, M. D., Bidar, E., Maesen, B., Zeemering, S., Isaacs, A., Crijns, H., van Gelder, I., Rienstra, M., Verheule, S., Maessen, J., Stoll, M., & Schotten, U. (2021). Reappraisal of Atrial fibrillation: interaction between hyperCoagulability, Electrical remodelling and Vascular destabilisation in the progression of AF (RACE V) Tissue Bank Project: study design. Netherlands Heart Journal, 29(5), 280-287.
    • Schotten, U., Lee, S., Zeemering, S., & Waldo, A. L. (2021). Paradigm shifts in electrophysiological mechanisms of atrial fibrillation. EP Europace, 23, 9-13.
    • van Rosmalen, F., Maesen, B., van Hunnik, A., Hermans, B. J. M., Bonizzi, P., Bidar, E., Nijs, J., Maessen, J. G., Verheule, S., Delhaas, T., Schotten, U., & Zeemering, S. (2021). Incidence, prevalence, and trajectories of repetitive conduction patterns in human atrial fibrillation. EP Europace, 23(Supplement_1), i123-i132.
    • Gharaviri, A., Pezzuto, S., Potse, M., Conte, G., Zeemering, S., Sobota, V., Verheule, S., Krause, R., Auricchio, A., & Schotten, U. (2021). Synergistic antiarrhythmic effect of inward rectifier current inhibition and pulmonary vein isolation in a 3D computer model for atrial fibrillation. EP Europace, 23, I161-I168.
    • Fabritz, L., Crijns, H. J. G. M., Guasch, E., Goette, A., Häusler, K. G., Kotecha, D., Lewalter, T., Meyer, C., Potpara, T. S., Rienstra, M., Schnabel, R. B., Willems, S., Breithardt, G., Camm, A. J., Chan, A., Chua, W., de Melis, M., Dimopoulou, C., Dobrev, D., ... Kirchhof, P. (2021). Dynamic risk assessment to improve quality of care in patients with atrial fibrillation: the 7th AFNET/EHRA Consensus Conference. EP Europace, 23(3), 329-344.
  • 2020
    • Winters, J., von Braunmuhl, M. E., Zeemering, S., Gilbers, M., Ten Brink, T., Scaf, B., Guasch, E., Mont, L., Batlle, M., Sinner, M., Hatem, S., Mansour, M. K., Fabritz, L., Sommerfeld, L. C., Kirchhof, P., Isaacs, A., Stoll, M., Schotten, U., & Verheule, S. (2020). JavaCyte, a novel open-source tool for automated quantification of key hallmarks of cardiac structural remodeling. Scientific Reports, 10(1), [20074].