Ben Hermans

Post doc

Dr Ben Hermans studied Medical Technology (Dutch: Biometrie) at the Zuyd University for Applied Sciences. After his graduation in 2009, he started to study Technical Medicine at the University of Twente in Enschede. In 2015 he obtained his Master’s degree after finishing his graduation internship at the departments of Biomedical Engineering, Physiology and Cardiology. In September 2015, Ben started as a PhD candidate at the department of Biomedical Engineering under supervision of prof. Delhaas, prof. Pison (Hasselt University) and dr. Postema (Amsterdam UMC). During this time, he focused on improving the diagnosis of Long-QT Syndrome by advanced signal analyses of standard electrocardiograms. After obtaining his PhD in January 2020, Ben started as a postdoctoral researcher at the Department of Physiology.

Currently, Ben is involved in several projects that focus on improving treatment and/or understanding of atrial fibrillation (AF) by studying electrophysiological properties of the atria. For example, by analysing invasive direct contact mapping data or by analysing non-invasive ECG-imaging. Specific projects of research include validating the use of non-invasive ECG-imaging for atrial arrhythmias or applying new innovative signal-analysis techniques on contact mapping data from AF patients to ultimately find new ablation targets for the treatment of AF.

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

  • 2020
    • Hermans, B. J. M., Bennis, F. C., Vink, A. S., Koopsen, T., Lyon, A., Wilde, A. A. M., Nuyens, D., Robyns, T., Pison, L., Postema, P. G., & Delhaas, T. (2020). Improving long QT syndrome diagnosis by a polynomial-based T-wave morphology characterization. Heart Rhythm, 17(5), 752-758. https://doi.org/10.1016/j.hrthm.2019.12.020
    • Tas, J., van Gassel, R. J. J., Heines, S. J. H., Mulder, M. M. G., Heijnen, N. F. L., Acampo-de Jong, M. J., Bels, J. L. M., Bennis, F. C., Koelmann, M., Groven, R. V. M., Donkers, M. A., van Rosmalen, F., Hermans, B. J. M., Meex, S. J. R., Mingels, A., Bekers, O., Savelkoul, P., Oude Lashof, A. M. L., Wildberger, J., ... van Bussel, B. C. T. (2020). Serial measurements in COVID-19-induced acute respiratory disease to unravel heterogeneity of the disease course: design of the Maastricht Intensive Care COVID cohort (MaastrICCht). BMJ Open, 10(9), [040175]. https://doi.org/10.1136/bmjopen-2020-040175
  • 2019
    • Delhaas, T., Andriessen, P., van Laar, J. O. E. H., Vullings, R., Hermans, B. J. M., Niemarkt, H. J., Jellema, R. K., Ophelders, D. R. M. G., Wolfs, T. G. A. M., Kramer, B. W., & Zwanenburg, A. (2019). Why-aVF can be used in STAN as a proxy for scalp electrode-derived signal; reply to comments by Kjellmer et al.PLOS ONE, 14(8), [0221220]. https://doi.org/10.1371/journal.pone.0221220
  • 2018
    • Hermans, B. J. M., Stoks, J., Bennis, F. C., Vink, A. S., Garde, A., Wilde, A. A. M., Pison, L., Postema, P. G., & Delhaas, T. (2018). Support vector machine-based assessment of the T-wave morphology improves long QT syndrome diagnosis. EP Europace, 20, 113-119. https://doi.org/10.1093/europace/euy243
    • Sathyaprabha, T. N., Koot, L. A. M., Hermans, B. H. M., Adoor, M., Sinha, S., Kramer, B. W., Raju, T. R., Satishchandra, P., & Delhaas, T. (2018). Effects of Chronic Carbamazepine Treatment on the ECG in Patients with Focal Seizures. Clinical Drug Investigation, 38(9), 845-851. https://doi.org/10.1007/s40261-018-0677-6
    • Engels, E. B., Mafi-Rad, M., Hermans, B. J. M., Aranda, A., van Stipdonk, A. M. W., Rienstra, M., Scheerder, C. O. S., Maass, A. H., Prinzen, F. W., & Vernooy, K. (2018). Tailoring device settings in cardiac resynchronization therapy using electrograms from pacing electrodes. EP Europace, 20(7), 1146-1153. https://doi.org/10.1093/europace/eux208
    • Filippini, L. H. P. M., Postema, P. G., Zoubin, K., Hermans, B. J. M., Blom, N. A., Delhaas, T., & Wilde, A. A. M. (2018). The brisk-standing-test for long QT syndrome in prepubertal school children: defining normal. EP Europace, 20, F108-F112. https://doi.org/10.1093/europace/eux259
    • Andriessen, P., Zwanenburg, A., van Laar, J. O. E. H., Vullings, R., Hermans, B. J. M., Niemarkt, H. J., Jellema, R. K., Ophelders, D. R. M. G., Wolfs, T. G. A. M., Kramer, B. W., & Delhaas, T. (2018). ST waveform analysis for monitoring hypoxic distress in fetal sheep after prolonged umbilical cord occlusion. PLOS ONE, 13(4), [e0195978]. https://doi.org/10.1371/journal.pone.0195978
  • 2017
    • Hermans, B. J. M., Vink, A. S., Bennis, F. C., Filippini, L. H., Meijborg, V. M. F., Wilde, A. A. M., Pison, L., Postema, P. G., & Delhaas, T. (2017). The development and validation of an easy to use automatic QT-interval algorithm. PLOS ONE, 12(9), [0184352]. https://doi.org/10.1371/journal.pone.0184352
  • 2016
    • Zwanenburg, A., Hermans, B. J. M., Andriessen, P., Niemarkt, H. J., Jellema, R. K., Ophelders, D. R. M. G., Vullings, R., Wolfs, T. G. A. M., Kramer, B. W., & Delhaas, T. (2016). Comparison of ECG-based physiological markers for hypoxia in a preterm ovine model. Pediatric Research, 79(6), 907-915. https://doi.org/10.1038/pr.2016.21
  • 2011
    • van Geldorp, I. E., Delhaas, T., Hermans, B., Vernooy, K., Broers, B., Klimusina, J., Regoli, F., Faletra, F. F., Moccetti, T., Gerritse, B., Cornelussen, R., Settels, J. J., Crijns, H. J. G. M., Auricchio, A., & Prinzen, F. W. (2011). Comparison of a non-invasive arterial pulse contour technique and echo Doppler aorta velocity-time integral on stroke volume changes in optimization of cardiac resynchronization therapy. EP Europace, 13(1), 87-95. https://doi.org/10.1093/europace/euq348