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

 

  • 2024
    • Gonçalves Marques, V., Gharaviri2, A., Özgül, O., Pezzuto, S., Auricchio, A., Bonizzi, P., Zeemering, S., & Schotten, U. (2024). A novel sequential endocardial mapping strategy for locating atrial fibrillation sources based on repetitive conduction patterns: An in-silico study. Journal of Molecular and Cellular Cardiology Plus, 7. https://www.sciencedirect.com/science/article/pii/S2772976124000059
    • Winters, J., Kawczynski, M. J., Gilbers, M. D., Isaacs, A., Zeemering, S., Bidar, E., Maesen, B., Rienstra, M., van Gelder, I., Verheule, S., Maessen, J. G., & Schotten, U. (2024). Circulating BMP10 Levels Associate With Late Postoperative Atrial Fibrillation and Left Atrial Endomysial Fibrosis. JACC: Clinical Electrophysiology. Advance online publication. https://doi.org/10.1016/j.jacep.2024.03.003
    • Hermans, B., Özgül, O., Wolf, M., Gonçalves Marques, V., van Hunnik, A., Verheule, S., Chaldoupi, M., Linz, D., El Haddad, M., Duytschaever, M., Bonizzi, P., Vernooy, K., Knecht, S., Zeemering, S., & Schotten, U. (2024). Selecting repetitive focal and rotational activation patterns with the highest probability of being a source of atrial fibrillation. Journal of Molecular and Cellular Cardiology Plus, 7, Article 100064. https://www.sciencedirect.com/science/article/pii/S2772976124000047
  • 2023
    • Winters, J., Isaacs, A., Zeemering, S., Kawczynski, M., Maesen, B., Maessen, J., Bidar, E., Boukens, B., Hermans, B., van Hunnik, A., Casadei, B., Fabritz, L., Chua, W., Sommerfeld, L., Guasch, E., Mont, L., Batlle, M., Hatem, S., Kirchhof, P., ... Schotten, U. (2023). Heart Failure, Female Sex, and Atrial Fibrillation Are the Main Drivers of Human Atrial Cardiomyopathy: Results From the CATCH ME Consortium. Journal of the American Heart Association, 12(22), Article e031220. https://doi.org/10.1161/JAHA.123.031220
    • Chua, W., Cardoso, V. R., Guasch, E., Sinner, M. F., Al-Taie, C., Brady, P., Casadei, B., Crijns, H. J. G. M., Dudink, E. A. M. P., Hatem, S. N., Kääb, S., Kastner, P., Mont, L., Nehaj, F., Purmah, Y., Reyat, J. S., Schotten, U., Sommerfeld, L. C., Zeemering, S., ... Fabritz, L. (2023). An angiopoietin 2, FGF23, and BMP10 biomarker signature differentiates atrial fibrillation from other concomitant cardiovascular conditions. Scientific Reports, 13(1), Article 16743. https://doi.org/10.1038/s41598-023-42331-7
    • Ozgul, O., Hermans, B. JM., van Hunnik, A., Verheule, S., Schotten, U., Bonizzi, P., & Zeemering, S. (2023). High-density and high coverage composite mapping of repetitive atrial activation patterns. Computers in Biology and Medicine, 159(1), Article 106920. https://doi.org/10.1016/j.compbiomed.2023.106920
    • Ganesan, P., Deb, B., Feng, R. B., Rodrigo, M., Ruiperez-Campillo, S., Rogers, A. J., Clopton, P., Wang, P. J., Zeemering, S., Schotten, U., Rappel, W. J., & Narayan, S. M. (2023). Quantifying a spectrum of clinical response in atrial tachyarrhythmias using spatiotemporal synchronization of electrograms. EP Europace, 25(5), Article euad055. https://doi.org/10.1093/europace/euad055
  • 2022
    • Zeemering, S., Isaacs, A., Winters, J., Maesen, B., Bidar, E., Dimopoulou, C., Guasch, E., Batlle, M., Haase, D., Hatem, S. N., Kara, M., Kääb, S., Mont, L., Sinner, M. F., Wakili, R., Maessen, J., Crijns, H. J. G. M., Fabritz, L., Kirchhof, P., ... Schotten, U. (2022). Atrial fibrillation in the presence and absence of heart failure enhances expression of genes involved in cardiomyocyte structure, conduction properties, fibrosis, inflammation, and endothelial dysfunction. Heart Rhythm, 19(12), 2115-2124. https://doi.org/10.1016/j.hrthm.2022.08.019
    • Kawczynski, M. J., Van De Walle, S., Maesen, B., Isaacs, A., Zeemering, S., Hermans, B., Vernooy, K., Maessen, J. G., Schotten, U., & Bidar, E. (2022). Preoperative P-wave parameters and risk of atrial fibrillation after cardiac surgery: a meta-analysis of 20,201 patients. Interactive Cardiovascular and Thoracic Surgery, 35(4), Article ivac220. https://doi.org/10.1093/icvts/ivac220