Prof. PhD Franc Jager
Full Professor
T: +386 1 479 8270
Room: R3.05

My research areas include: biomedical signal and image processing, digital signal processing, biomedical computer systems and human-computer interaction.

  • F. Jager. Guideliness for Assessing Performance of ST Analyzers. Journal of Medical Engineering & Technology, Vol. 22(1), pp. 25–30, 1998.
  • F. Jager, G.B. Moody, and R.G. Mark. Detection of Transient ST-Segment Episodes During Ambulatory ECG-Monitoring. Computers and Biomedical Research, Vol. 31, pp. 305–322, 1998.
  • F. Jager, A. Taddei, G.B. Moody, M. Emdin, G. Antolič, R. Dorn, A. Smrdel, C. Marchesi, and R.G. Mark. Long-term ST database: a reference for the development and evaluation of automated ischaemia detectors and for the study of the dynamics of myocardial ischaemia. Med. Biol. Eng. Comput., Vol. 41, pp. 172-182, 2003.
  • R. Dorn and F. Jager. SEMIA: semi-automatic interactive graphic editing tool to annotate ambulatory records. Computer Methods and Programs in Biomedicine.  Vol. 75 (3), pp. 235-249, 2004.
  • A. Smrdel and F. Jager. Automated detection of transient ST segment episodes in 24-hour electrocardiograms. Med. Biol. Eng. Comput., Vol. 42, pp. 303-311, 2004.
  • F. Jager, G.B. Moody, and R.G. Mark. Protocol to assess robustness of ST analysers: A case study. Physiological Measurement,  Vol. 25 (3), pp. 629-643, 2004.
  • B. Mali, T. Jarm, F. Jager, D. Miklavčič. An algorithm for synchronization of in vivo electroporation with ECG.  J. med. eng. technol., Vol. 29(6), pp. 288-296, 2005.
  • M.Cvikl, F. Jager, A. Žemva. Hardware implementation of a modified delay-coordinate mapping-based QRS complex detection algorithm. EURASIP J. Adv. Signal Process.,  Vol. 2007(1), pp. 1-13, 2007.
  • A. Smrdel and F. Jager. Diurnal changes of heart rate and sympathovagal activity for temporal patterns of transient ischemic episodes in 24-hour electrocardiograms. EURASIP J. Adv. Signal Process., Vol. 2007, pp. [1]-10, 2007.
  • G. Fele-Žorž, G. Kavšek, Ž. Novak-Antolič and F. Jager. A comparison of various linear and non-linear signal processing techniques to separate uterine EMG records of term and pre-term delivery groups. Medical & Biological Engineering & Computing, Vol. 46(9), pp. 911-922, 2008.
  • J. Faganeli and F. Jager. Automatic classification of transient ischaemic and transient non-ischaemic heart-rate related ST segment deviation episodes in ambulatory ECG records.Physiological measurement, Vol. 31, pp. 323-337, 2010.
  • A. Minchole, F. Jager, P. Laguna. Discrimination between ischemic and artifactual ST segment events in Holter recordings. 
    Biomedical Signal Processing and Control,  Vol. 5, pp. 21-31, 2010.
  • A. Smrdel, F. Jager. Automatic classification of long-term ambulatory ECG records according to type of ischemic heart disease. 
    BioMedical Engineering OnLine (Online), Vol. 10:107, pp. 1-13, 2011.
  • U. Pangerc, F. Jager. Robust Detection of Heart Beats in Multimodal Data Using Integer Multiplier Digital FIlters and Morphological Algorithms. Computing in Cardiology, 2014; 41:285-288.
  • M. Amon and F. Jager, Electrocardiogram ST-Segment Morphology Delineation Method Using Orthogonal Transformations. PLoS ONE, Vol. 11(2):e0148814, 2016.
  • A. Trojner-Bregar, M. Lučovnik, I. Verdenik, F. Jager, K. Geršak, R. Garfield. Uterine electromyography during active phase compared with latent phase of labor at term. Acta obstetricia et gynecologica Scandinavica, Vol. 95(2), pp. 197-202, 2016.
  • U. Pangerc and F. Jager. Robust detection of heart beats in multimodal records using slope- and peak-sensitive band-pass filters. Physiological measurement, Vol. 36(8), pp. 1645-1664, 2015.
  • A. J. Hussain, P. Fergus, H. Al-Askar, D. Al-Jumeily and F. Jager. Dynamic neural network architecture inspired by the immune algorithm to predict preterm deliveries in pregnant women. Neurocomputing, Vol. 151(3), pp. 963-974, 2015.