#Health Sciences

Under the heading of Health Sciences, the St. Pölten UAS combines expertise from the fields of dietetics, physiotherapy, healthcare and nursing, and digital healthcare in the research areas of Health Promotion & Healthy Ageing, Clinical & Healthcare Research and Education & Lifelong Learning for Health Professionals.

Projects

EyeQTrack - Quantitative Eye-Tracking Analytics for Adaptive XR Training & Rehabilitation in Healthcare

A self-adaptive eXtended reality environment for training and therapeutic purposes.

DICHTE - Digitised Interprofessional Collaboration of Health Teams in Education

Digitised methods that support academic staff in organising person-centred, interprofessional health care education.

Applied Biomechanics in Rehabilitation Research

Endowed professorship of the province of Lower Austria to strengthen and expand the research focus on motor rehabilitation

deepForce - Pushing the limits of rapid estimation of knee joint contact force estimation in clinical gait analysis by Machine and Deep Learning

Machine learning methods to enable more clinicians to use data obtained by gait analyses for diagnosis.

NSUPH – Pflegewissenschaftliche Untersuchungen zur ungeplanten, perioperativen Hypothermie

Identifying decreased body temperature occurring before, during and after medical operations.

NUMOQUA - Nutrition and movement to improve quality of life with knee osteoarthritis

Combining exercise therapy with nutritional therapy to improve the quality of life of patients with osteoarthritis.

E+DIETing_LAB- Digital Lab for Education in Dietetics combining Experiential Learning and Community Service

New ways of educating and upskilling teachers, students and experts in the field of dietetics.

O3DGA – The Use of Machine Learning as a Supportive Measure in Clinical Three-Dimensional Gait Analysis

Optimisation of time-consuming and error-prone processes in three-dimensional gait analysis.

UASHome - DIGIHealth UASHome Incubators Boost Programme

Promoting University of Applied Sciences as innovation and entrepreneurship centres for Digital Health

FIVE - #Fitspiration Image VErification

Proof of Concept of an interdisciplinary online-course offering guidance on how to deal critically with information provided by social media sites.

Publications

Slijepcevic, D., Zeppelzauer, M., Unglaube, F., Kranzl, A., Breiteneder, C., & Horsak, B. (2023). Towards more transparency: The utility of Grad-CAM in tracing back deep learning based classification decisions in children with cerebral palsy. Gait & Posture, 100, 32–33. https://doi.org/10.1016/j.gaitpost.2022.11.045
Slijepcevic, D., Horst, F., Simak, M., Lapuschkin, S., Raberger, A. M., Samek, W., Breiteneder, C., Schöllhorn, W. I., Zeppelzauer, M., & Horsak, B. (2022). Explaining machine learning models for age classification in human gait analysis. Gait & Posture, 97, S252–S253. https://doi.org/10.1016/j.gaitpost.2022.07.153
Seel, M., Heller, M., & Anderluh, A. (2022, May 17). EFFECTS: Gesundheitliche Bewertung aktiver Mobilität [Postersession]. 25. ÖGPH Tagung 2022, Online. https://www.oeph.at/sites/default/public/2022-05/seel.pdf
Höld, E., Grüblbauer, J., Wiesholzer, M., Wewerka-Kreimel, D., Stieger, S., Kuschei, W., Kisser, P., Gützer, E., Hemetek, U., Ebner-Zarl, A., & Pripfl, J. (2022). Improving glycemic control in patients with type 2 diabetes mellitus through a peer support instant messaging service intervention (DiabPeerS): study protocol for a randomized controlled trial. Trials, 23(1), 308. https://doi.org/10.1186/s13063-022-06202-2
Slijepcevic, D., Horst, F., Lapuschkin, S., Horsak, B., Raberger, A.-M., Kranzl, A., Samek, W., Breitender, C., Schöllhorn, W., & Zeppelzauer, M. (2022). Explaining Machine Learning Models for Clinical Gait Analysis. ACM Transactions on Computing for Healthcare, 3(2), 14:1-14:27. https://doi.org/10/gnt2s9
Seel, M., Heller, M., & Anderluh, A. (2022). EFFECTS: Gesundheitliche Bewertung aktiver Mobilität. Das Gesundheitswesen, 84(08/09), 892–893. https://doi.org/10.1055/s-0042-1751198
Anderluh, A., Bichler, R., Heller, M., Michelberger, F., Seel, M., Raffler, C., Hackl, R., & Sempoch, C. (2022). EFFECTS - Intersektorale Wirkungsimplikationen und Potentiale aktiver Mobilität (p. 99) [Projektbericht]. BMK. https://projekte.ffg.at/anhang/62d9322f1abb0_EFFECTS%20Ergebnisbericht.pdf
Anderluh, A. (2022). EFFECTS of Cycling - Ein Plus für Gesundheit, Wirtschaft und Verkehr [Vortrag]. Österreichischer Radgipfel 2022, Wien, 4.-5. April 2022, Wien.
Seel, M., Heller, M., & Anderluh, A. (2022). EFFECTS: Gesundheitliche Bewertung aktiver Mobilität. ÖGPH-Newsletter, 11–13. https://oeph.at/sites/default/public/files/newsletter/%C3%96GPH_Newsletter_M%C3%A4rz_%202022.pdf
Horak, T., Aigner, W., Brehmer, M., Joshi, A., & Tominski, C. (2022). Responsive Visualization Design for Mobile Devices. In B. Lee, E. K. Choe, P. Isenberg, & R. Dachselt (Eds.), Mobile Data Visualization. CRC Press; 10.1201/9781003090823-2. https://www.routledge.com/Mobile-Data-Visualization/Lee-Dachselt-Isenberg-Choe/p/book/9780367534714

News

04/20/2023

Systematic Review: Comparing Perturbation Methods

03/30/2023

New Research for Companies and Healthcare

03/03/2023

International Projects at the St. Pölten UAS