#Digital Health

Information and communication technology plays an increasingly important role in the healthcare system. Digital Health research takes place at the interface between healthcare, social sciences and digitalisation – among the results are healthcare apps and improved methods for research, diagnosis, therapy and rehabilitation.

Projects

ELSA- Evaluation of simple gait analysis devices

Evaluation of the effectiveness of rehabilitation measures after reconstruction of the anterior cruciate ligament using simplified gait analysis

HIPstar

Evaluation of the accuracy of non-invasive hip joint centre estimation methods for clinical gait analysis in children and adolescents

SensiTrack - Tracking vs Privacy in the Workplace 4.0

Developing measures to support employee privacy whwn using tracking systems in industry and comparing positive aspects of tracking technologies with regard to occupational safety

SemTreat

Scientific exchange with South Africa in the field of digital technologies

Publications

Horst, F., Slijepcevic, D., Lapuschkin, S., Raberger, A.-M., Zeppelzauer, M., Samek, W., … Horsak, B. (2020). On the Understanding and Interpretation of Machine Learning Predictions in Clinical Gait Analysis Using Explainable Artificial Intelligence. Frontiers in Bioengineering and Biotechnology, Submitted.
Horsak, B., Slijepcevic, D., Raberger, A.-M., Schwab, C., & Zeppelzauer, M. (2020). GaitRec, a large-scale walking GRF dataset for a healthy cohort and patients with musculo-skeletal impairments. Scientific Data, Submitted.
Slijepcevic, D., Zeppelzauer, M., Raberger, A.-M., Breitender, C., Horsak, B., & Horsak, Brian. (2020). Input Representations and Classification Strategies for Automated Human Gait Analysis. Gait & Posture, 76, 198–203.
Schwab, C., Durstberger, S., Kranzl, A., & Horsak, B. (2020). Die Anwendung von 3D-Freihand-Ultraschall für die digitale Rekonstruktion von anatomischen Strukturen in der 3D Ganganalyse: erste Ergebnisse eines laufenden Projekts. In Abstractband des 3. GAMMA Kongress. München, Deutschland.
Horsak, B., Dumphart, B., Slijepcevic, D., & Zeppelzauer, M. (2020). Explainable Artificial Intelligence (XAI) und ihre Anwendung auf Klassifikationsprobleme in der Ganganalyse. In Abstractband des 3. GAMMA Kongress. München, Deutschland.
Zahorka, F. (2019, June). Projekt Umbrello: Digitale.Dorf.Dienste. Presented at the Mental Health 2.0? Internetbasierte Interventionen in der Behandlung und Prävention psychischer Erkrankungen., Stockerau.
Horsak, B., Schwab, C., Baca, A., Greber-Platzer, S., Kreissl, A., Nehrer, S., … Wondrasch, B. (2019). Effects of a lower extremity exercise program on gait biomechanics and clinical outcomes in children and adolescents with obesity: A randomized controlled trial. Gait & Posture, ePub ahead of print. https://doi.org/10.1016/j.gaitpost.2019.02.032
Slijepcevic, D., Raberger, A.-M., Zeppelzauer, M., Dumphart, B., Breiteneder, C., & Horsak, B. (2019). On the usefulness of statistical parameter mapping for feature selection in automated gait classification. In Book of Abstracts of the 25th Conference of the European Society of Biomechanics (ESB) (p. 1). Vienna, Austria.
Horsak, B., Schwab, C., & Kranzl, A. (2019). Reliability of stair walking kinematics in young overweight and obese individuals. Poster presented at the 28th Annual Meeting of the European Society for Movement Analysis in Adults and Children (ESMAC), Amsterdam, Netherlands.
Wondrasch, B., Raberger, A.-M., & Endres, C. (2019). Motor Learning in Knee Osteoarthritis Therapy - A new Rehabilitation Approach. Presented at the International Society of Athroscopy, Knee Surgery and Orthopaedic Sports Medicine, Cancún, Mexiko.

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