@misc{bruckner_labore_2019, address = {St. Poelten, Austria}, title = {Labore für virtuelle {Welten} und {Gesundheit}}, abstract = {Die Fachhochschule St. Pölten entwickelt und erforscht digitale Anwendungen für Gesellschaft und Unternehmen. In zwei neuen Laboren baut sie ihre Ressourcen dafür aus. Das „Immersive Media Lab“ verbindet aktuelles Wissen zu Augmented und Virtual Reality mit interdisziplinären Ansätzen des Storytellings. Das „ReMoCap-Lab“ (Laboratory for Capturing Motion and Augmenting Environment in Motor Rehabilitation) widmet sich dem digitalen Gesundheitswesen mit Fokus auf Rehabilitation, Bewegungsanalyse, Visual Analytics, Machine Learning und Mixed Reality. Im „Campus Talk“ im Campus \& City Radio 94.4, erklären Franziska Bruckner, Leiterin der Forschungsgruppe Media Creation an der FH St. Pölten, und Brian Horsak vom Institut für Gesundheitswissenschaften der FH St. Pölten, was es mit den neuen Laboren auf sich hat und was dort erforscht wird.}, language = {Deutsch}, author = {Bruckner, Franziska and Horsak, Brian}, year = {2019}, note = {Projekt: IML Projekt: CDHILab}, keywords = {Center for Digital Health Innovation, DHLab, Digital Health, Digital Media, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Forschungsgruppe Media Creation, Gait Analysis, IML, Immersive Media (AR, VR, 360°), Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, SP IGW Clinical \& Healthcare Research, Smart Manufacturing, Virtual Reality, Visual Computing, best-bhorsak}, } @inproceedings{fischer_auditory_2016, address = {Segovia, Spain}, series = {Biosystems \& {Biorobotics}}, title = {An {Auditory} {Feedback} {System} in {Use} with {People} {Aged} +50 {Years}: {Compliance} and {Modifications} in {Gait} {Pattern}}, copyright = {©2017 Springer International Publishing AG}, isbn = {978-3-319-46668-2 978-3-319-46669-9}, shorttitle = {An {Auditory} {Feedback} {System} in {Use} with {People} {Aged} +50 {Years}}, url = {http://link.springer.com/chapter/10.1007/978-3-319-46669-9_143}, doi = {10/gnt2tg}, abstract = {Aging leads to gait impairments, which increases the risk for falls. In this study the impact of the auditory feedback system SONIGait on gait parameters in elderly persons was investigated. Twenty-one participants walked at self-selected speed with four variations of real-time auditory feedback of their plantar pressure. Repeated measures ANOVA was utilized to determine changes in time-distance parameters between walking without feedback and four feedback variations. After walking, they completed a questionnaire about their appraisal of the SONIGait system and the four different feedback modalities. There was a significant reduction in gait velocity (0.142 ± 0.04 m/s; p {\textless} 0.001) and prolongation of step time (0.02 ± 0.005 s; p {\textless} 0.001) during walking with SONIGait. No significant preference for any of the feedback variations was observed. Most participants evaluated the system SONIGait positively. Thus, real-time auditory feedback may be used in gait rehabilitation and may support an older person’s gait stability.}, language = {en}, urldate = {2016-10-19}, booktitle = {Converging {Clinical} and {Engineering} {Research} on {Neurorehabilitation} {II}}, publisher = {Springer International Publishing}, author = {Fischer, Theresa and Kiselka, Anita and Dlapka, Ronald and Doppler, Jakob and Iber, Michael and Gradl, Christian and Gorgas, Anna-Maria and Siragy, Tarique and Horsak, Brian}, editor = {Ibáñez, Jaime and González-Vargas, José and Azorín, José María and Akay, Metin and Pons, José Luis}, year = {2016}, note = {Projekt: CARMA Projekt: DHLab}, keywords = {Biofeedback, Biomechanics, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, DHLab, Departement Soziales, Department Gesundheit, Department Technologie, Forschungsgruppe Digital Technologies, Gait Analysis, Institut für Gesundheitswissenschaften, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, Publikationstyp Vortrag, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, SP IGW Health Promotion \& Healthy Ageing, Studiengang Physiotherapie, Wiss. Beitrag, best, best-bhorsak, interdisziplinär, peer-reviewed, project\_carma, project\_sonigait}, pages = {881--885}, } @article{slijepcevic_input_2020, title = {Input {Representations} and {Classification} {Strategies} for {Automated} {Human} {Gait} {Analysis}}, volume = {76}, issn = {0966-6362}, doi = {10/ghz24x}, journal = {Gait \& Posture}, author = {Slijepcevic, Djordje and Zeppelzauer, Matthias and Schwab, Caterine and Raberger, Anna-Maria and Breitender, Christian and Horsak, Brian}, year = {2020}, note = {Projekt: IntelliGait Projekt: I3D Projekt: ReMoCap-Lab Projekt: DHLab}, keywords = {2020, Biomechanics, Center for Artificial Intelligence, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, Department Gesundheit, Eintrag überprüfen, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Gait Analysis, Gait Classification, Green OA, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Machine Learning, Media Computing Group, Open Access, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Wiss. Beitrag, best, best-bhorsak, peer-reviewed}, pages = {198--203}, } @inproceedings{slijepcevic_usefulness_2019, address = {Vienna, Austria}, title = {On the usefulness of statistical parameter mapping for feature selection in automated gait classification}, booktitle = {Book of {Abstracts} of the 25th {Conference} of the {European} {Society} of {Biomechanics} ({ESB})}, author = {Slijepcevic, Djordje and Raberger, Anna-Maria and Zeppelzauer, Matthias and Dumphart, Bernhard and Breiteneder, Christian and Horsak, Brian}, year = {2019}, note = {Projekt: IntelliGait Projekt: DHLab}, keywords = {Biomechanics, Center for Artificial Intelligence, Center for Digital Health Innovation, Digital Health, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Gait Analysis, Gait Classification, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Machine Learning, Media Computing Group, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Vortrag, Wiss. Beitrag, best, best-bhorsak, peer-reviewed, ⛔ No DOI found}, pages = {1}, } @article{wagner_kavagait_2018, title = {{KAVAGait}: {Knowledge}-{Assisted} {Visual} {Analytics} for {Clinical} {Gait} {Analysis}}, volume = {25}, url = {https://doi.org/10.1109/TVCG.2017.2785271}, doi = {10/ghppzn}, abstract = {In 2014, more than 10 million people in the US were affected by an ambulatory disability. Thus, gait rehabilitation is a crucial part of health care systems. The quantification of human locomotion enables clinicians to describe and analyze a patient’s gait performance in detail and allows them to base clinical decisions on objective data. These assessments generate a vast amount of complex data which need to be interpreted in a short time period. We conducted a design study in cooperation with gait analysis experts to develop a novel Knowledge-Assisted Visual Analytics solution for clinical Gait analysis (KAVAGait). KAVAGait allows the clinician to store and inspect complex data derived during clinical gait analysis. The system incorporates innovative and interactive visual interface concepts, which were developed based on the needs of clinicians. Additionally, an explicit knowledge store (EKS) allows externalization and storage of implicit knowledge from clinicians. It makes this information available for others, supporting the process of data inspection and clinical decision making. We validated our system by conducting expert reviews, a user study, and a case study. Results suggest that KAVAGait is able to support a clinician during clinical practice by visualizing complex gait data and providing knowledge of other clinicians.}, number = {3}, journal = {IEEE Transactions on Visualization and Computer Graphics (TVCG)}, author = {Wagner, Markus and Slijepcevic, Djordje and Horsak, Brian and Rind, Alexander and Zeppelzauer, Matthias and Aigner, Wolfgang}, year = {2018}, note = {Projekt: KAVA-Time Projekt: IntelliGait Projekt: CARMA Projekt: DHLab}, keywords = {Biomechanics, Center for Artificial Intelligence, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, DHLab, Design Study, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Gait Analysis, Gait Classification, Healthcare, Human Gait Analysis, Human-Computer Interaction, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Machine Learning, Media Computing Group, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Visual analytics, Wiss. Beitrag, best, best-bhorsak, best-lbaigner, best-lbwagnerm, best-mzeppelzauer, information visualization, knowledge generation, peer-reviewed}, pages = {1528--1542}, } @article{slijepcevic_automatic_2018, title = {Automatic {Classification} of {Functional} {Gait} {Disorders}}, volume = {5}, issn = {2168-2194}, url = {https://arxiv.org/abs/1712.06405}, doi = {10/ghz24w}, number = {22}, urldate = {2017-12-21}, journal = {IEEE Journal of Biomedical and Health Informatics}, author = {Slijepcevic, Djordje and Zeppelzauer, Matthias and Raberger, Anna-Maria and Schwab, Caterine and Schuller, Michael and Baca, Arnold and Breiteneder, Christian and Horsak, Brian}, year = {2018}, note = {Projekt: IntelliGait Projekt: CARMA Projekt: DHLab}, keywords = {Biomechanics, Center for Artificial Intelligence, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, DHLab, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Gait Analysis, Gait Classification, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Machine Learning, Media Computing Group, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Wiss. Beitrag, best, best-bhorsak, best-mzeppelzauer, peer-reviewed}, pages = {1653 -- 1661}, } @article{horst_explaining_2020, title = {Explaining automated gender classification of human gait}, volume = {81, supplement 1}, url = {http://www.sciencedirect.com/science/article/pii/S0966636220303568}, doi = {10/ghr9k6}, language = {en}, urldate = {2020-09-14}, journal = {Gait \& Posture}, author = {Horst, F. and Slijepcevic, D. and Zeppelzauer, M. and Raberger, A. M. and Lapuschkin, S. and Samek, W. and Schöllhorn, W. I. and Breiteneder, C. and Horsak, B.}, year = {2020}, note = {Projekt: ReMoCap-Lab Projekt: I3D}, keywords = {2020, Biomechanics, Center for Artificial Intelligence, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, DHLab, Department Gesundheit, Digital Health, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Gait Analysis, Gait Classification, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Institutional Access, Machine Learning, Media Computing Group, Poster, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Vortrag, Wiss. Beitrag, best, best-bhorsak, peer-reviewed}, pages = {159--160}, } @inproceedings{horsak_explainable_2020, address = {München, Deutschland}, title = {Explainable {Artificial} {Intelligence} ({XAI}) und ihre {Anwendung} auf {Klassifikationsprobleme} in der {Ganganalyse}}, booktitle = {Abstractband des 3. {GAMMA} {Kongress}}, author = {Horsak, Brian and Dumphart, Bernhard and Slijepcevic, Djordje and Zeppelzauer, Matthias}, year = {2020}, note = {Projekt: ReMoCap-Lab Projekt: DHLab Projekt: I3D}, keywords = {Biomechanics, Center for Artificial Intelligence, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, Department Gesundheit, Eintrag überprüfen, Forschungsgruppe Media Computing, Gait Analysis, Gait Classification, Green OA, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Machine Learning, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Vortrag, Wiss. Beitrag, best, best-bhorsak, peer-reviewed, ⛔ No DOI found}, } @article{horsak_gaitrec_2020, title = {{GaitRec}, a large-scale ground reaction force dataset of healthy and impaired gait}, volume = {7:143}, copyright = {CC BY}, url = {https://www.nature.com/articles/s41597-020-0481-z}, doi = {10/gh372d}, number = {1}, journal = {Scientific Data}, author = {Horsak, Brian and Slijepcevic, Djordje and Raberger, Anna-Maria and Schwab, Caterine and Worisch, Marianne and Zeppelzauer, Matthias}, year = {2020}, note = {Projekt: I3D Projekt: IntelliGait Projekt: DHLab}, keywords = {2019, Biomechanics, Center for Artificial Intelligence, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, DHLab, Eintrag überprüfen, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Gait Analysis, Gait Classification, Green OA, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Machine Learning, Media Computing Group, Open Access, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Wiss. Beitrag, best, best-bhorsak, best-mzeppelzauer, peer-reviewed, submitted}, pages = {1--8}, } @inproceedings{schwab_intelligait_2018, address = {Hamburg, Deutschland}, title = {{IntelliGait}: {Automatische} {Gangmusteranalyse} für die robuste {Erkennung} von {Gangstörungen}}, booktitle = {Tagungsband des 2ten {GAMMA} {Kongress} ({Gesellschaft} für die {Analyse} {Menschlicher} {Motorik} in ihrer klinischen {Anwendung})}, author = {Schwab, Caterine and Slijepcevic, Djordje and Zeppelzauer, Matthias and Raberger, Anna-Maria and Dumphart, Bernhard and Baca, Arnold and Breitender, Christian and Horsak, Brian}, year = {2018}, note = {Projekt: IntelliGait Projekt: CARMA Projekt: DHLab}, keywords = {Biomechanics, Center for Artificial Intelligence, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, Creative Industries, DHLab, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Gait Analysis, Gait Classification, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Machine Learning, Media Computing Group, Pattern recognition, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Wiss. Beitrag, best, best-bhorsak, peer-reviewed, ⛔ No DOI found}, } @inproceedings{slijepcevic_ground_2017, address = {Trondheim, Norway}, title = {Ground reaction force measurements for gait classification tasks: {Effects} of different {PCA}-based representations}, volume = {57}, url = {http://www.gaitposture.com/article/S0966-6362(17)30712-9/pdf}, doi = {10.1016/j.gaitpost.2017}, booktitle = {Gait \& {Posture} {Supplement}}, author = {Slijepcevic, Djordje and Horsak, Brian and Schwab, Caterine and Raberger, Anna-Maria and Schüller, Michael and Baca, Arnold and Breitender, Christian and Zeppelzauer, Matthias}, year = {2017}, note = {Projekt: IntelliGait Projekt: DHLab}, keywords = {2017, Biofeedback, Biomechanics, Center for Artificial Intelligence, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, Creative Industries, DHLab, Department Technologie, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Gait Analysis, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Machine Learning, Media Computing Group, Pattern recognition, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Wiss. Beitrag, best, best-bhorsak, peer-reviewed, project\_carma, project\_intelligait, ⚠️ Invalid DOI}, pages = {4--5}, } @inproceedings{slijepcevic_towards_2018, address = {Prague, Czech Republic}, title = {Towards an optimal combination of input signals and derived representations for gait classification based on ground reaction force measurements.}, volume = {65}, doi = {10/gh38wn}, booktitle = {Gait \& {Posture} {Supplement}}, author = {Slijepcevic, Djordje and Zeppelzauer, Matthias and Schwab, Caterine and Raberger, Anna-Maria and Dumphart, B and Baca, Arnold and Breiteneder, Christian and Horsak, Brian}, year = {2018}, note = {Projekt: IntelliGait Projekt: CARMA Projekt: DHLab}, keywords = {Biomechanics, Center for Artificial Intelligence, Center for Digital Health and Social Innovation, Classification, DHLab, FH SP Data Analytics \& Visual Computing, Feature Representations, Forschungsgruppe Media Computing, Gait Analysis, Gait Classification, Gait Recognition, Human Gait Analysis, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Machine Learning, Media Computing Group, PCA, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, SVM, Wiss. Beitrag, best, best-bhorsak, pattern recognition, peer-reviewed}, } @book{horsak_advancements_2019, address = {Vienna}, title = {Advancements in biomechanical research in gait analysis and motor rehabilitation ({Habilitation})}, abstract = {The quantification and analysis of human movement have constantly challenged researchers, clinicians and coaches during the last centuries. While it was a time-consuming and cumbersome task at the beginning, advancements in processing power and technology allowed to develop more complex and accurate measurement and analysis techniques over time. To mention only the most frequently used technologies, these range from three-dimensional (3D) motion-capturing, sophisticated medical-imaging based personalized biomechanical modelling, the quantification of muscle activation via surface electrodes, to the application of advanced data-science driven methods on big data. This cumulative habilitation thesis describes research in biomechanics relevant to gait analysis and motor rehabilitation which utilizes sophisticated biomechanical measurement techniques combined with emerging and innovative technologies to aid clinical practice and decision-making. More specifically, the presented research includes the following contributions: (i) using electromyographic analysis to understand muscle activation patterns during rehabilitation exercises and walking, (ii) investigations in methodological aspects of clinical 3D gait analysis in overweight and obese children and adolescents, (iii) the application of standard clinical 3D gait analysis to quantify intervention effects in a randomized-controlled trial, (iv) the prototyping and evaluation of an in-shoe real-time sonification feedback device for gait rehabilitation, and (v) the application and optimization of machine learning techniques to automatically identify specific gait patterns in gait analysis data. Even though the utilized techniques in this thesis are highly developed, there are still technical limitations that hamper knowledge generation when using them. However, technological advancements and innovations are still ongoing. Therefore, in the final chapter this thesis will give an outlook to what can be expected in the near future and to where research and development in the field of applied biomechanics are currently advancing.}, publisher = {University of Vienna}, author = {Horsak, Brian}, month = oct, year = {2019}, keywords = {3D Free Hand Ultrasound, Biofeedback, Biomechanics, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, Department Gesundheit, Gait Analysis, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Wiss. Beitrag, best, best-bhorsak}, } @article{horsak_effects_2019, title = {Effects of a lower extremity exercise program on gait biomechanics and clinical outcomes in children and adolescents with obesity: {A} randomized controlled trial}, volume = {70}, issn = {0966-6362}, shorttitle = {Effects of a lower extremity exercise program on gait biomechanics and clinical outcomes in children and adolescents with obesity}, url = {http://www.sciencedirect.com/science/article/pii/S0966636218313341}, doi = {10/gh38bj}, number = {122-129}, urldate = {2019-03-04}, journal = {Gait \& Posture}, author = {Horsak, Brian and Schwab, Caterine and Baca, Arnold and Greber-Platzer, Susanne and Kreissl, Alexandra and Nehrer, Stefan and Keilani, Mohammad and Crevenna, Richard and Kranzl, Andreas and Wondrasch, Barbara}, year = {2019}, note = {Projekt: Childrens KNEEs Study}, keywords = {Biofeedback, Biomechanics, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, DHLab, Gait Analysis, Institut für Gesundheitswissenschaften, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Wiss. Beitrag, best, best-bhorsak, peer-reviewed}, } @misc{fischer_auditory_2016-1, address = {Segovia, Spain}, title = {An {Auditory} {Feedback} {System} in {Use} with {People} {Aged} +50 {Years}: {Compliance} and {Modifications} in {Gait} {Pattern}}, abstract = {Aging leads to gait impairments, which increases the risk for falls. In this study the impact of the auditory feedback system SONIGait on gait parameters in elderly persons was investigated. Twenty-one participants walked at self-selected speed with four variations of real-time auditory feedback of their plantar pressure. Repeated measures ANOVA was utilized to determine changes in time-distance parameters between walking without feedback and four feedback variations. After walking, they completed a questionnaire about their appraisal of the SONIGait system and the four different feedback modalities. There was a significant reduction in gait velocity (0.142 ± 0.04 m/s; p {\textless} 0.001) and prolongation of step time (0.02 ± 0.005 s; p {\textless} 0.001) during walking with SONIGait. No significant preference for any of the feedback variations was observed. Most participants evaluated the system SONIGait positively. Thus, real-time auditory feedback may be used in gait rehabilitation and may support an older person’s gait stability.}, author = {Fischer, Theresa and Kiselka, Anita}, collaborator = {Dlapka, Ronald and Doppler, Jakob and Iber, Michael and Gradl, Christian and Gorgas, Anna-Maria and Siragy, Tarique and Horsak, Brian}, year = {2016}, note = {Projekt: CARMA Projekt: DHLab}, keywords = {Biofeedback, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, DHLab, Forschungsgruppe Digital Technologies, Gait Analysis, Institut für Gesundheitswissenschaften, Publikationstyp Präsentation, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Wiss. Beitrag, best, best-bhorsak, peer-reviewed}, } @inproceedings{gorgas_short-term_2016, address = {Segovia, Spain}, series = {Biosystems \& {Biorobotics}}, title = {Short-{Term} {Effects} of {Real}-{Time} {Auditory} {Display} ({Sonification}) on {Gait} {Parameters} in {People} with {Parkinsons}’ {Disease}—{A} {Pilot} {Study}}, copyright = {©2017 Springer International Publishing AG}, isbn = {978-3-319-46668-2 978-3-319-46669-9}, url = {http://link.springer.com/chapter/10.1007/978-3-319-46669-9_139}, doi = {10/gnt2th}, abstract = {Parkinson’s disease PD patients frequently experience gait impairments. Auditory input has been shown to be an effective measure to benefit critical gait aspects related to the timing and initiation of movement. An instrumented shoe insole device for real-time sonification of gait has been developed for rehabilitation purposes (SONIGait). The objective of the present pilot study was to gain insight about possible effects of SONIGait on gait parameters in PD patients. Five PD patients participated in this pilot study and completed three series of trials with and without sonification. Spatio-temporal gait parameters were recorded during these trials. The outcomes revealed an increase in walking velocity and cadence along with other gait parameters between pre- and posttest. These data indicate that sonification affects gait parameters and fosters (short-term) learning effects in PD patients. Thus, SONIGait may be a suitable measure to promote gait rehabilitation in PD in the future.}, language = {en}, urldate = {2016-10-19}, booktitle = {Converging {Clinical} and {Engineering} {Research} on {Neurorehabilitation} {II}}, publisher = {Springer International Publishing}, author = {Gorgas, Anna-Maria and Schön, Lena and Dlapka, Ronald and Doppler, Jakob and Iber, Michael and Gradl, Christian and Kiselka, Anita and Siragy, Tarique and Horsak, Brian}, editor = {Ibáñez, Jaime and González-Vargas, José and Azorín, José María and Akay, Metin and Pons, José Luis}, year = {2016}, note = {Projekt: CARMA Projekt: DHLab}, keywords = {Biofeedback, Biomechanics, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, DHLab, Department Gesundheit, Department Technologie, Forschungsgruppe Digital Technologies, Gait Analysis, Institut für Gesundheitswissenschaften, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, Publikationstyp Vortrag, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Wiss. Beitrag, best, best-bhorsak, interdisziplinär, peer-reviewed, project\_carma, project\_sonigait}, pages = {855--859}, } @article{horsak_sonigait_2016, title = {{SONIGait}: a wireless instrumented insole device for real-time sonification of gait}, volume = {10}, issn = {1783-7677, 1783-8738}, shorttitle = {{SONIGait}}, url = {http://link.springer.com/10.1007/s12193-016-0216-9}, doi = {10/gh38bg}, language = {en}, number = {3}, urldate = {2016-04-26}, journal = {Journal on Multimodal User Interfaces}, author = {Horsak, Brian and Dlapka, Ronald and Iber, Michael and Gorgas, Anna-Maria and Kiselka, Anita and Gradl, Christian and Siragy, Tarique and Doppler, Jakob}, year = {2016}, note = {Projekt: CARMA Projekt: SoniGait Projekt: DHLab}, keywords = {Biofeedback, Biomechanics, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, DHLab, Forschungsgruppe Digital Technologies, Gait Analysis, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Wiss. Beitrag, best, best-bhorsak, peer-reviewed}, pages = {195--206}, } @inproceedings{siragy_framework_2016, address = {Wien, Österreich}, title = {Framework for {Real}-time {Auditory} {Display} of {Plantar} {Pressure} during {Walking}}, booktitle = {Tagungsband des 10. {Forschungsforum} der Österreichischen {Fachhochschulen}}, author = {Siragy, Tarique and Doppler, Jakob and Gorgas, Anna-Maria and Dlapka, Ronald and Iber, Michael and Kiselka, Anita and Gradl, Christian and Horsak, Brian}, year = {2016}, note = {Projekt: CARMA Projekt: DHLab}, keywords = {Biofeedback, Biomechanics, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, DHLab, Department Gesundheit und Soziales, Department Medien und Digitale Technologien, Department Technologie, Forschungsgruppe Digital Technologies, Gait Analysis, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, Publikationstyp Vortrag, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Wiss. Beitrag, best, best-bhorsak, interdisziplinär, peer-reviewed, project\_carma, project\_sonigait, ⛔ No DOI found}, } @article{horsak_3d_2021, title = {{3D} free-hand ultrasound to register anatomical landmarks at the pelvis and localize the hip joint center in lean and obese individuals}, volume = {11}, copyright = {Open Access}, issn = {2045-2322}, url = {https://www.nature.com/articles/s41598-021-89763-7}, doi = {https://doi.org/10.1038/s41598-021-89763-7}, abstract = {3D free-hand ultrasound (3DFUS) is becoming increasingly popular to assist clinical gait analysis because it is cost- and time-efficient and does not expose participants to radiation. The aim of this study was to evaluate its reliability in localizing the anterior superior iliac spine (ASIS) at the pelvis and the hip joint centers (HJC). Additionally, we evaluated its accuracy to get a rough estimation of the potential to use of 3DFUS to segment bony surface. This could offer potential to register medical images to motion capture data in future. To evaluate reliability, a test–retest study was conducted in 16 lean and 19 obese individuals. The locations of the ASIS were determined by manual marker placement (MMP), an instrumented pointer technique (IPT), and with 3DFUS. The HJC location was also determined with 3DFUS. To quantify reliability, intraclass correlation coefficients (ICCs), the standard error of measurement (SEm), among other statistical parameters, were calculated for the identified locations between the test and retest. To assess accuracy, the surface of a human plastic pelvic phantom was segmented with 3DFUS in a distilled water bath in 27 trials and compared to a 3D laser scan of the pelvis. Regarding reliability, the MMP, but especially the IPT showed high reliability in lean (SEm: 2–3 mm) and reduced reliability in obese individuals (SEm: 6–15 mm). Compared to MMP and IPT, 3DFUS presented lower reliability in the lean group (SEm: 2–4 mm vs. 2–8 mm, respectively) but slightly better values in the obese group (SEm: 7–11 mm vs. 6–16 mm, respectively). Correlations between test–retest reliability and torso body fat mass (\% of body mass) indicated a moderate to strong relationship for MMP and IPT but only a weak correlation for the 3DFUS approach. The water-bath experiments indicated an acceptable level of 3.5 (1.7) mm of accuracy for 3DFUS in segmenting bone surface. Despite some difficulties with single trials, our data give further rise to the idea that 3DFUS could serve as a promising tool in future to inform marker placement and hip joint center location, especially in groups with higher amount of body fat.}, language = {en}, number = {1}, urldate = {2021-05-20}, journal = {Scientific Reports}, author = {Horsak, Brian and Schwab, Caterine and Durstberger, Sebastian and Thajer, Alexandra and Greber-Platzer, Susanne and Kainz, Hans and Jonkers, Ilse and Kranzl, Andreas}, year = {2021}, note = {Projekt: HIPstar}, keywords = {3D Free Hand Ultrasound, Biomechanics, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, DHLab, Department Gesundheit, Gait Analysis, Institut für Gesundheitswissenschaften, Open Access, SP CDHSI Motor Rehabilitation, Studiengang Physiotherapie, Wiss. Beitrag, best, best-bhorsak, peer-reviewed}, pages = {10650}, } @inproceedings{schwab_evaluating_2020, address = {Virtual Meeting}, title = {Evaluating the accuracy of a {3D} free-hand ultrasound technique for bone segmentation in clinical gait analysis}, url = {http://www.sciencedirect.com/science/article/pii/S0966636220304513}, doi = {10.1016/j.gaitpost.2020.08.064}, language = {en}, urldate = {2020-09-14}, booktitle = {Gait \& {Posture}}, author = {Schwab, C. and Durstberger, S. and Kranzl, A. and Simonlehner, M. and Kainz, H. and Horsak, B.}, year = {2020}, note = {Projekt: HIPstar}, keywords = {3D Free Hand Ultrasound, Biomechanics, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, DHLab, Department Gesundheit, Digital Health, Eintrag überprüfen, Gait Analysis, Institut für Gesundheitswissenschaften, Poster, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Wiss. Beitrag, best, best-bhorsak, peer-reviewed}, } @inproceedings{schwab_anwendung_2020, address = {München, Deutschland}, title = {Die {Anwendung} von {3D}-{Freihand}-{Ultraschall} für die digitale {Rekonstruktion} von anatomischen {Strukturen} in der {3D} {Ganganalyse}: erste {Ergebnisse} eines laufenden {Projekts}}, booktitle = {Abstractband des 3. {GAMMA} {Kongress}}, author = {Schwab, Caterine and Durstberger, Sebastian and Kranzl, Andreas and Horsak, Brian}, year = {2020}, note = {Projekt: HIPstar Projekt: DHLab}, keywords = {3D Free Hand Ultrasound, Biomechanics, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, Department Gesundheit, Gait Analysis, Institut für Gesundheitswissenschaften, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Vortrag, Wiss. Beitrag, best, best-bhorsak, peer-reviewed, ⛔ No DOI found}, } @inproceedings{durstberger_evaluating_2020, address = {Virtual Meeting}, title = {Evaluating {3D} free-hand ultrasound as an alternative approach to register anatomical landmarks: {A} test-retest study in lean and overweight participants}, shorttitle = {Evaluating {3D} free-hand ultrasound as an alternative approach to register anatomical landmarks}, doi = {10/gnt2tf}, language = {en}, urldate = {2020-09-14}, booktitle = {Gait \& {Posture}}, author = {Durstberger, S. and Schwab, C. and Simonlehner, M. and Kainz, H. and Kranzl, A. and Horsak, B.}, year = {2020}, note = {Projekt: HIPstar}, keywords = {3D Free Hand Ultrasound, Biomechanics, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, DHLab, Department Gesundheit, Digital Health, Eintrag überprüfen, Gait Analysis, Green OA, Institut für Gesundheitswissenschaften, Institutional Access, Poster, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Wiss. Beitrag, best, best-bhorsak, peer-reviewed}, } @inproceedings{horsak_applicability_2020, address = {Virtual Meeting}, title = {Applicability and usability of an immersive virtual reality-based balance control exergame for prosthetic users: {A} pilot study with healthy individuals}, shorttitle = {Applicability and usability of an immersive virtual reality-based balance control exergame for prosthetic users}, url = {http://www.sciencedirect.com/science/article/pii/S0966636220303556}, doi = {10/gnkdht}, language = {en}, urldate = {2020-09-14}, booktitle = {Gait \& {Posture}}, author = {Horsak, B. and Simonlehner, M. and Schöffer, L. and Maureder, J. and Schwab, C. and Raberger, A. M. and Zeller, M. and Husinsky, M.}, year = {2020}, note = {Projekt: ReMoCap-Lab Projekt: AVATAR}, keywords = {Biomechanics, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, DHLab, Department Gesundheit, Digital Health, Gait Analysis, Immersive Media (AR, VR, 360°), Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Institutional Access, Poster, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Virtual Reality, Wiss. Beitrag, best, best-bhorsak, peer-reviewed}, } @article{thajer_comparison_2021, title = {Comparison of {Bioelectrical} {Impedance}-{Based} {Methods} on {Body} {Composition} in {Young} {Patients} with {Obesity}}, volume = {8}, copyright = {CC-BY}, url = {https://www.mdpi.com/2227-9067/8/4/295}, doi = {https://doi.org/10.3390/children8040295}, language = {en}, number = {4}, urldate = {2021-04-12}, journal = {Children}, author = {Thajer, Alexandra and Skacel, Gabriele and Truschner, Katharina and Jorda, Anselm and Vasek, Martin and Horsak, Brian and Strempfl, Johanna and Kautzky-Willer, Alexandra and Kainberger, Franz and Greber-Platzer, Susanne}, month = apr, year = {2021}, note = {Projekt: Childrens KNEEs Study}, keywords = {Biomechanics, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, DHLab, Department Gesundheit, Gait Analysis, Institut für Gesundheitswissenschaften, Open Access, SP CDHSI Motor Rehabilitation, Studiengang Physiotherapie, Wiss. Beitrag, best, best-bhorsak, peer-reviewed}, pages = {295}, } @article{horsak_reliability_2020, title = {Reliability of walking and stair climbing kinematics in a young obese population using a standard kinematic and the {CGM2} model}, volume = {83}, issn = {0966-6362}, url = {http://www.sciencedirect.com/science/article/pii/S096663622030597X}, doi = {10/gnt2tj}, language = {en}, number = {96-99}, urldate = {2020-10-21}, journal = {Gait \& Posture}, author = {Horsak, Brian and Schwab, Caterine and Leboeuf, Fabien and Kranzl, Andreas}, year = {2020}, note = {Projekt: ReMoCap-Lab}, keywords = {Biomechanics, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, Department Gesundheit, Eintrag überprüfen, Gait Analysis, Green OA, Institut für Gesundheitswissenschaften, Open Access, Publikationstyp Schriftpublikation, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Wiss. Beitrag, best, best-bhorsak, peer-reviewed}, } @article{horsak_muscle_2015, title = {Muscle co-contraction around the knee when walking with unstable shoes}, issn = {1873-5711}, doi = {10/f6xvzs}, abstract = {Walking with unstable shoes has been discussed to decrease joint loading. Typical estimates of joint loading using an inverse dynamic approach only account for net joint moments, not considering the potential role of muscular co-contraction. Therefore, the purpose of this study was to compare muscular co-contraction levels when walking with two different unstable shoe constructions (rocker-bottom and toning shoes) compared to walking with regular shoes. For each shoe condition, 12 healthy subjects walked with both, a regular shoe and with an unstable shoe at self-selected walking speed at a 10-m walkway. Surface EMG data of selected muscles were recorded and time normalized for calculating co-contraction indices (CCI) for opposing muscle groups. Results showed an increase of co-contraction primarily for vastii and gastrocnemius muscles for the first and second half of stance when walking with an unstable shoe construction. Therefore, when using an inverse dynamic approach to analyze joint loading differences between regular shoes and unstable shoes, one should be cautious in interpreting the data, as these methods base their estimates of joint moments upon the net joint torque.}, language = {ENG}, number = {25}, journal = {Journal of Electromyography and Kinesiology: Official Journal of the International Society of Electrophysiological Kinesiology}, author = {Horsak, Brian and Heller, Mario and Baca, Arnold}, year = {2015}, pmid = {25156445}, note = {Projekt: DHLab}, keywords = {Biomechanics, Center for Digital Health Innovation, DHLab, Department Gesundheit und Soziales, Forschungsgruppe Digital Technologies, Gait Analysis, Institut für Gesundheitswissenschaften, Publikationstyp Schriftpublikation, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Wiss. Beitrag, best, best-bhorsak, best-lbheller, peer-reviewed}, pages = {175--181}, } @inproceedings{iber_pilotstudie_2015, address = {FH St. Pölten}, title = {Pilotstudie zur sonifikationsgestützten {Ganganalyse}}, isbn = {987-3-86488-090-2}, abstract = {Verletzungs- oder krankheitsbedingte Beeinträchtigungen des Ganges stellen die physiotherapeutische Behandlung vor große Herausforderungen. Aktuelle Technologien erlauben heute die Entwicklung preiswerter tragbarer Ganganalysesysteme, die den gewohnten Bewegungsablauf nicht einschränken und auch außerhalb eines Labors verwendet werden können. Über eine diagnostische Anwendung hinaus können sie auch den motorischen Lernprozess in der physiotherapeutischen Behandlung unterstützen. Eine akustische Darstellung des Abrollverhaltens erlaubt PatientInnen mögliche Abweichungen wahrzunehmen und ermöglicht folglich Eigenkontrolle und Eigenständigkeit beim Üben. Auf Grundlage dieser Rahmenbedingungen wurde ein Hardware-Prototyp bestehend aus einem Paar mit Sensoren ausgestatteter Schuhsohlen und einem Mikroprozessor mit BluetoothLE entwickelt, der Bewegungsdaten in Echtzeit an ein handelsübliches mobiles Endgerät schickt. Auf diesem werden die parametrisierten Daten in Echtzeit sonifiziert, d.h. als Klänge synthetisiert, und über Kopfhörer der PatientIn zugespielt. Dadurch erhält die PatientIn eine zusätzliche Rückmeldung zu seinem Gangmuster. In einer Pilotstudie wurden Sonifikationsvarianten entwickelt und nach einer Vorauswahl durch PhysiotherapeutInnen durch eine Gruppe gesunder ProbandInnen evaluiert. Darüber hinaus wurde der objektive Einfluss der Sonifikationen auf das Gangmuster anhand von Bewegungsdaten, die mit Druckmessplatten erhobenen wurden, verglichen.}, booktitle = {Forum {Medientechnik} - {Next} {Generation}, {New} {Ideas}}, publisher = {Verlag Werner Hülsbusch, Fachverlag für Medientechnik und -wirtschaft}, author = {Iber, Michael and Horsak, Brian and Bauer, Karin and Kiselka, Anita and Gorgas, Anna-Maria and Dlapka, Ronald and Doppler, Jakob}, year = {2015}, note = {Projekt: CARMA Projekt: DHLab}, keywords = {2015, Biomechanics, Center for Digital Health Innovation, DHLab, Department Gesundheit und Soziales, Department Medien und Digitale Technologien, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Gait Analysis, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, Publikationstyp Vortrag, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Wiss. Beitrag, best, best-bhorsak, peer-reviewed, project\_carma, project\_sonigait}, pages = {51--68}, } @article{horsak_effects_2015, title = {The effects of a strength and neuromuscular exercise programme for the lower extremity on knee load, pain and function in obese children and adolescents: study protocol for a randomised controlled trial}, volume = {16}, issn = {1745-6215}, shorttitle = {The effects of a strength and neuromuscular exercise programme for the lower extremity on knee load, pain and function in obese children and adolescents}, doi = {10/ghf82d}, abstract = {BACKGROUND: Childhood obesity is one of the most critical and accelerating health challenges throughout the world. It is a major risk factor for developing varus/valgus misalignments of the knee joint. The combination of misalignment at the knee and excess body mass may result in increased joint stresses and damage to articular cartilage. A training programme, which aims at developing a more neutral alignment of the trunk and lower limbs during movement tasks may be able to reduce knee loading during locomotion. Despite the large number of guidelines for muscle strength training and neuromuscular exercises that exist, most are not specifically designed to target the obese children and adolescent demographic. Therefore, the aim of this study is to evaluate a training programme which combines strength and neuromuscular exercises specifically designed to the needs and limitations of obese children and adolescents and analyse the effects of the training programme from a biomechanical and clinical point of view. METHODS/DESIGN: A single assessor-blinded, pre-test and post-test randomised controlled trial, with one control and one intervention group will be conducted with 48 boys and girls aged between 10 and 18 years. Intervention group participants will receive a 12-week neuromuscular and quadriceps/hip strength training programme. Three-dimensional (3D) gait analyses during level walking and stair climbing will be performed at baseline and follow-up sessions. The primary outcome parameters for this study will be the overall peak external frontal knee moment and impulse during walking. Secondary outcomes include the subscales of the Knee injury and Osteoarthritis Outcome Score (KOOS), frontal and sagittal kinematics and kinetics for the lower extremities during walking and stair climbing, ratings of change in knee-related well-being, pain and function and adherence to the training programme. In addition, the training programme will be evaulated from a clinical and health status perspective by including the following analyses: cardiopulmonary testing to quantify aerobic fitness effects, anthropometric measures, nutritional status and psychological status to characterise the study sample. DISCUSSION: The findings will help to determine whether a neuromuscular and strength training exercise programme for the obese children population can reduce joint loading during locomotion, and thereby decrease the possible risk of developing degenerative joint diseases later in adulthood. TRIAL REGISTRATION: ClinicalTrials NCT02545764 , Date of registration: 24 September 2015.}, language = {eng}, journal = {Trials}, author = {Horsak, Brian and Artner, David and Baca, Arnold and Pobatschnig, Barbara and Greber-Platzer, Susanne and Nehrer, Stefan and Wondrasch, Barbara}, year = {2015}, note = {Projekt: Childrens KNEEs Study Projekt: DHLab}, keywords = {Biomechanics, Center for Digital Health Innovation, DHLab, Department Gesundheit und Soziales, Gait Analysis, Institut für Gesundheitswissenschaften, Publikationstyp Schriftpublikation, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Wiss. Beitrag, best, best-bhorsak, peer-reviewed, project\_childrensknees}, pages = {586}, } @inproceedings{artner_trial_2015, address = {Mainz, Deutschland}, title = {Trial {Protokoll}: {Biomechanische} {Belastungsanalyse} der {Kniegelenke} bei {Alltagsbewegungen} von adipösen {Kindern} und {Jugendlichen}: eine randomisiert kontrollierte {Studie}}, booktitle = {Konferenzband - 22. {Sportwissenschaftliche} {Hochschultag} der {Deutschen} {Vereinigung} für {Sportwissenschaft} (dvs)}, publisher = {Johannes Gutenberg-Universität Mainz}, author = {Artner, David and Wondrasch, Barbara and Baca, Arnold and Pobatschnig, Barbara and Greber-Platzer, Susanne and Nehrer, Stefan and Horsak, Brian}, year = {2015}, note = {Projekt: Childrens KNEEs Study Projekt: DHLab}, keywords = {Biomechanics, Center for Digital Health Innovation, DHC, DHLab, Department Gesundheit und Soziales, Department Technologie, Gait Analysis, HCI, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Wiss. Beitrag, best-bhorsak, interdisziplinär, peer-reviewed, ⛔ No DOI found}, } @inproceedings{horsak_wireless_2015, address = {Graz, Austria}, title = {A wireless instrumented insole device for real-time sonification of gait}, isbn = {978-3-902949-01-1}, booktitle = {Proceedings of the 21st {International} {Conference} on {Auditory} {Display}}, author = {Horsak, Brian and Iber, Michael and Bauer, Karin and Kiselka, Anita and Gorgas, Anna-Maria and Dlapka, Ronald and Doppler, Jakob}, year = {2015}, note = {Projekt: CARMA Projekt: DHLab}, keywords = {Biomechanics, Center for Digital Health Innovation, DHLab, Department Gesundheit und Soziales, Department Medien und Digitale Technologien, Department Technologie, Forschungsgruppe Digital Technologies, Gait Analysis, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, Publikationstyp Vortrag, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Wiss. Beitrag, best, best-bhorsak, interdisziplinär, peer-reviewed, project\_carma, project\_sonigait}, pages = {94--101}, } @inproceedings{lampel_development_2015, address = {Istanbul, Turkey}, title = {Development of an educational software for observational gait analysis in physical therapy}, booktitle = {International {Neurology} and {Rehabilitation} {Meeting} - {Abstract} {Book}}, author = {Lampel, Kerstin and Horsak, Brian and Brauneis, Werner and Doppler, Jakob}, year = {2015}, note = {Projekt: GAIT SCORE Projekt: DHLab}, keywords = {Biomechanics, Center for Digital Health Innovation, DHC, DHLab, Department Gesundheit und Soziales, Department Technologie, Forschungsgruppe Digital Technologies, Gait Analysis, HCI, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, Publikationstyp Vortrag, SP IGW Clinical \& Healthcare Research, SP IGW Education \& Lifelong Learning for Health Professionals, Studiengang Physiotherapie, Wiss. Beitrag, best, best-bhorsak, interdisziplinär, peer-reviewed, user centered design, ⛔ No DOI found}, } @inproceedings{kiselka_demands_2015, address = {Hagenberg, Österreich}, title = {Demands on a mobile auditory feedback system for gait rehabilitation}, booktitle = {Tagungsband des 9. {Forschungsforum} der Österreichischen {Fachhochschulen}}, author = {Kiselka, Anita and Gorgas, A.-M. and Bauer, Karin and Dlapka, Ronald and Gusenbauer, Markus and Doppler, Jakob and Horsak, Brian}, year = {2015}, note = {Projekt: CARMA Projekt: DHLab}, keywords = {Biomechanics, Center for Digital Health Innovation, DHLab, Department Gesundheit und Soziales, Department Medien und Digitale Technologien, Department Technologie, Forschungsgruppe Digital Technologies, Gait Analysis, Institut für Creative Media Technologies, Institut für Gesundheitswissenschaften, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, Publikationstyp Vortrag, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Wiss. Beitrag, best, best-bhorsak, interdisziplinär, peer-reviewed, project\_carma, project\_sonigait, ⛔ No DOI found}, } @article{thajer_strength_2020, title = {A strength and neuromuscular exercise program did not improve body composition, nutrition and psychological status in children with obesity}, volume = {epub ahead of print}, copyright = {This article is protected by copyright. All rights reserved.}, issn = {1651-2227}, url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/apa.15498}, doi = {10/gh379v}, language = {en}, urldate = {2020-08-03}, journal = {Acta Paediatrica}, author = {Thajer, Alexandra and Truschner, Katharina and Jorda, Anselm and Skacel, Gabriele and Horsak, Brian and Greber‐Platzer, Susanne}, year = {2020}, note = {Projekt: Childrens KNEEs Study}, keywords = {Biomechanics, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, DHLab, Department Gesundheit, Gait Analysis, Green OA, Institut für Gesundheitswissenschaften, Open Access, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Wiss. Beitrag, best, best-bhorsak, peer-reviewed}, } @article{horsak_reliability_2018, title = {Reliability of joint kinematic calculations based on direct kinematic and inverse kinematic models in obese children}, volume = {66}, issn = {0966-6362, 1879-2219}, url = {https://www.gaitposture.com/article/S0966-6362(18)30270-4/fulltext}, doi = {10/gf4v7g}, language = {English}, number = {201-207}, urldate = {2018-09-03}, journal = {Gait \& Posture}, author = {Horsak, Brian and Pobatschnig, Barbara and Schwab, Caterine and Baca, Arnold and Kranzl, Andreas and Kainz, Hans}, year = {2018}, note = {Projekt: Childrens KNEEs Study Projekt: DHLab}, keywords = {2018, Biomechanics, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, DHLab, Department Gesundheit, Gait Analysis, Institut für Gesundheitswissenschaften, Publikationstyp Schriftpublikation, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Wiss. Beitrag, best, best-bhorsak, peer-reviewed, project\_carma, project\_childrensknees}, } @article{horsak_is_2018, title = {Is the reliability of {3D} kinematics of young obese participants dependent on the hip joint center localization method used?}, issn = {0966-6362, 1879-2219}, url = {http://www.gaitposture.com/article/S0966-6362(17)30934-7/fulltext}, doi = {10/gh38bh}, language = {English}, number = {59}, urldate = {2017-10-02}, journal = {Gait \& Posture}, author = {Horsak, Brian and Schwab, Caterine and Clemens, Christoph and Baca, Arnold and Greber-Platzer, Susanne and Kreissl, Alexandra and Kranzl, Andreas}, year = {2018}, note = {Projekt: Childrens KNEEs Study Projekt: DHLab}, keywords = {2018, Biomechanics, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, DHLab, Department Gesundheit, Gait Analysis, Institut für Gesundheitswissenschaften, Publikationstyp Schriftpublikation, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Wiss. Beitrag, best, best-bhorsak, peer-reviewed, project\_carma, project\_childrensknees}, pages = {65--70}, } @article{horsak_trunk_2017, title = {Trunk muscle activation levels during eight stabilization exercises used in the functional kinetics concept: {A} controlled laboratory study}, volume = {30}, issn = {1878-6324}, shorttitle = {Trunk muscle activation levels during eight stabilization exercises used in the functional kinetics concept}, doi = {10/gh38bd}, abstract = {BACKGROUND: To ensure accurate implementation of stabilization exercises in rehabilitation, physical therapists need to understand the muscle activation patterns of prescribed exercise. OBJECTIVE: Compare muscle activity during eight trunk and lumbar spine stabilization exercises of the Functional Kinetics concept by Klein-Vogelbach. METHODS: A controlled laboratory study with a single-group repeated-measures design was utilized to analyze surface electromyographic intensities of 14 female and 6 male young healthy participants performing eight exercises. Data were captured from the rectus abdominis, external/internal oblique and lumbar paraspinalis. The normalized muscle activation levels (maximum voluntary isometric contraction, MVIC) for three repetitions during each exercise and muscle were analyzed. RESULTS: Side bridging (28 ± 20\%MVIC) and advanced planking (29 ± 20\%MVIC) reached the highest activity in the rectus abdominis. For external and internal oblique muscles, side bridging also showed the greatest activity of 99 ± 36\%MVIC and 52 ± 25\%MVIC, respectively. Apart from side bridging (52 ± 14\%MVIC), the supine roll-out (31 ± 12\%MVIC) and prone roll-out (31 ± 9\%MVIC) showed the greatest activity for the paraspinalis. The advanced quadruped, seated back extension and flexion on chair/Swiss Ball, prone roll-out and advanced one-leg back bridging only yielded negligible muscle activities for the rectus abdominis ({\textless} 5\%MVIC). CONCLUSION: Based on the data obtained, recommendations for selective trunk muscle activation during eight stabilization exercises were established, which will guide physical therapists in the development of exercises tailored to the needs of their patients.}, language = {eng}, number = {3}, journal = {Journal of Back and Musculoskeletal Rehabilitation}, author = {Horsak, Brian and Wunsch, Rüdiger and Bernhart, Philipp and Gorgas, Anna-Maria and Bichler, Romana and Lampel, Kerstin}, year = {2017}, note = {Projekt: DHLab}, keywords = {Biomechanics, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, DHLab, Department Gesundheit, Gait Analysis, Institut für Gesundheitswissenschaften, Publikationstyp Schriftpublikation, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Wiss. Beitrag, best, best-bhorsak, peer-reviewed}, pages = {497--508}, } @article{horsak_within-assessor_2017, title = {Within-assessor reliability and minimal detectable change of gait kinematics in a young obese demographic}, volume = {54}, issn = {0966-6362}, url = {http://www.sciencedirect.com/science/article/pii/S0966636217300711}, doi = {10/gh38bc}, urldate = {2017-03-06}, journal = {Gait \& Posture}, author = {Horsak, Brian and Pobatschnig, Barbara and Baca, Arnold and Greber-Platzer, Susanne and Kreissl, Alexandra and Nehrer, Stefan and Wondrasch, Barbara and Crevenna, Richard and Keilani, Mohammad and Kranzl, Andreas}, year = {2017}, note = {Projekt: Childrens KNEEs Study Projekt: DHLab}, keywords = {Biomechanics, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, DHLab, Department Gesundheit, Department Gesundheit und Soziales, Gait Analysis, Institut für Gesundheitswissenschaften, Publikationstyp Schriftpublikation, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Wiss. Beitrag, best, best-bhorsak, peer-reviewed, project\_carma, project\_childrensknees}, } @inproceedings{horsak_reliability_2019, address = {Berlin}, title = {Reliability of a mobile device to track the sagittal lumbar spine posture during activities of daily living}, author = {Horsak, Brian and Matousek, Elias and Schwärzler, Elisabeth and Schwab, Caterine}, year = {2019}, keywords = {Biomechanics, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, DHLab, Gait Analysis, Institut für Gesundheitswissenschaften, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Wiss. Beitrag, best, best-bhorsak, peer-reviewed}, } @article{horsak_serratus_2017, title = {Serratus anterior and trapezius muscle activity during knee push-up plus and knee-plus exercises performed on a stable, an unstable surface and during sling-suspension}, volume = {0}, issn = {1466-853X, 1873-1600}, url = {https://www.sciencedirect.com/science/article/abs/pii/S1466853X16300700}, doi = {10/gh38bf}, abstract = {Push-up plus variations are commonly prescribed to clients during shoulder rehabilitation. The purpose of this study was to compare electromyographic (EMG) activities of the serratus anterior (SA), upper (UT), and lower trapezius (LT) during a knee push-up plus and knee-plus exercise performed on various surfaces.}, language = {English}, number = {26}, urldate = {2016-10-03}, journal = {Physical Therapy in Sport}, author = {Horsak, Brian and Kiener, Marion and Pötzelsberger, Andreas and Siragy, Tarique}, year = {2017}, note = {Projekt: DHLab}, keywords = {Biomechanics, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, DHLab, Department Gesundheit, Gait Analysis, Institut für Gesundheitswissenschaften, Publikationstyp Schriftpublikation, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Wiss. Beitrag, best, best-bhorsak, peer-reviewed}, pages = {86--92}, } @inproceedings{horsak_intra-tester_2016, address = {Seville, Spain}, title = {Intra-tester reliability of three-dimensional kinematics in obese children and adolescents}, volume = {49}, url = {https://www.sciencedirect.com/science/article/abs/pii/S0966636216302934}, doi = {10.1016/j.gaitpost.2016.07.155}, language = {English}, urldate = {2016-09-27}, booktitle = {Gait \& {Posture}}, author = {Horsak, Brian and Pobatschnig, Barbara and Artner, David and Kranzl, Andreas and Baca, Arnold and Greber-Platzer, Susanne and Kreissl, Alexandra and Crevenna, Richard and Keilani, Mohammad and Wondrasch, Barbara}, year = {2016}, note = {Projekt: Childrens KNEEs Study Projekt: DHLab}, keywords = {Biomechanics, Center for Digital Health Innovation, Center for Digital Health and Social Innovation, DHLab, Department Gesundheit, Gait Analysis, Institut für Gesundheitswissenschaften, Publikationstyp Präsentation, Publikationstyp Schriftpublikation, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Wiss. Beitrag, best, best-bhorsak, peer-reviewed, project\_carma, project\_childrensknees}, pages = {99}, } @misc{horsak_reliability_2019-1, address = {Amsterdam, Netherlands}, type = {Poster}, title = {Reliability of stair walking kinematics in young overweight and obese individuals}, author = {Horsak, Brian and Schwab, Caterine and Kranzl, Andreas}, year = {2019}, note = {Projekt: ReMoCap-Lab}, keywords = {Center for Digital Health Innovation, Center for Digital Health and Social Innovation, DHLab, Digital Health, Gait Analysis, Institut für Gesundheitswissenschaften, Poster, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Wiss. Beitrag, best, best-bhorsak, peer-reviewed}, } @misc{horsak_reliabilitat_2019, address = {Berlin}, type = {Invited talk}, title = {Reliabilität von {Messergebnissen} in der {Gang}- und {Bewegungsanalyse} – {Erfahrungsbericht} zu gängigen {Maßzahlen}}, author = {Horsak, Brian}, year = {2019}, note = {Projekt: ReMoCap-Lab}, keywords = {Center for Digital Health Innovation, Center for Digital Health and Social Innovation, Gait Analysis, Institut für Gesundheitswissenschaften, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Wiss. Beitrag, best, best-bhorsak}, } @misc{clemens_hip_2017, address = {Hannover, Germany}, type = {Poster}, title = {Hip joint center estimation methods do not affect test-retest reliability of kinematic measurements in young obese participants}, author = {Clemens, Christoph and Schwab, Caterine and Kranzl, Andreas and Wondrasch, Barbara and Baca, Arnold and Greber-Platzer, Susanne and Crevenna, Richard and Kreissl, Alexandra and Keilani, Mohammad and Horsak, Brian}, year = {2017}, note = {Projekt: Childrens KNEEs Study Projekt: DHLab}, keywords = {Center for Digital Health Innovation, Center for Digital Health and Social Innovation, DHLab, Department Gesundheit, Gait Analysis, Institut für Gesundheitswissenschaften, Publikationstyp Schriftpublikation, SP CDHSI Motor Rehabilitation, SP IGW Clinical \& Healthcare Research, Studiengang Physiotherapie, Wiss. Beitrag, best, best-bhorsak, peer-reviewed, project\_carma, project\_childrensknees}, }