Dipl.-Inf. (FH) Loreen Pogrzeba
Technische Universität Dresden
Faculty of Psychology, Livespan Developmental Neuroscience
Office Center Zellescher Weg 17, Raum 236
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
Loreen Pogrzeba studied computer science in media at the University of Applied Sciences Dresden (HTW Dresden). From 2009 to 2019, she worked as a research associate at the HTW Dresden with a focus on markerless motion capturing and motion analysis in the domains of rehabilitation and sports medicine. She is pursuing a doctorate at the Technical University Bergakademie Freiberg and the HTW Dresden about the computer-assisted acquisition, analysis, and assessment of drumming tasks in applied music therapy.
Since November 2021 Loreen is a member of the section of Lifespan Developmental Neuroscience at the Technical University Dresden. She develops digital twins, i.e. digital representations of people for applications in virtual reality (VR), especially for the elderly, children, and young adults. In the 6g-life project at the TU Dresden, she pursues the development of a Python toolbox for the processing of multimodal data, including motion data, and collects motion data of people over the lifespan.
- 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 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