Dipl.-Inf. (FH) Loreen Pogrzeba
Loreen Pogrzeba develops computer-assisted approaches for rehabilitation medicine: She designs software for measuring movement performances in the clinical environment, derives quantitative features from qualitative medical (motor) assessments, and creates models for seizing the effects of medical interventions on movement performances. Loreen conducted studies with physical and music therapists, neurologists, and sport medicine specialists in Germany and Sweden.
Non-contact and barrier-free data acquisition in therapeutical environments
Motion analysis for use in physical and rehabilitation medicine
Signal processing of audio and skeletal data
Visualization of changes in movement
Visual analytics for supporting therapeutical or medical diagnostics
User-centred software design
Research in Functionally Oriented Music Therapy (FMT)
VitaLoreen Pogrzeba is a PhD candidate at the University of Technology and Mining Freiberg (TU Bergakademie Freiberg) and University of Applied Sciences Dresden (HTW Dresden). She finished her diploma in Media Computer Science at HTW Dresden in 2009 and worked as a technical assistant at the first German markerless motion capture system after her graduation. From 2010 to 2012, Loreen Pogrzeba taught the courses Computer Animation and Digital Compositing at HTW Dresden. Currently she is finishing her PhD thesis about the user-centred analysis and documention of function oriented music therapy. Her research was honored with the young researcher award of the HTW Dresden in 2016.
- Analysis and Quantification of Repetitive Motion in Long-Term Rehabilitation IEEE Journal of Biomedical and Health Informatics. 2018
- Towards estimation of muscle activity patterns for balance assessment from surface deformations in motion To be published on Conf. Proc. of Neuromechanics, 4th-6th Oct., Heidelberg, Germany. 2016
- Application of Computer-Assisted Neutral Zero Method of the Shoulder Joint in Vojta Therapy J Rehabil Med 47: Suppl 54, p. 391. 2015
- Towards a Vocabulary for Describing 3d Motion Data in Functionally Oriented Music Therapy Proc. ICMPC-APSCOM 2014 Joint Conference, August 4-8, 2014, Yonsei University, Seoul, South Korea , pp. 222-8. 2014
- Field Study of a Low-Cost Markerless Motion Analysis for Rehabilitation and Sports Medicine Gait & Posture 38:Suppl. 1, p. 94-95. 2013
- Potentials of a Low-Cost Motion Analysis System For Exergames in Rehabilitation and Sports Medicine E-Learning and Games for Training, Education, Health and Sports. Springer LNCS, vol 7516, pp. 125-133. 2012