@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{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}, } @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}, } @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_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}, } @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_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}, } @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}, } @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{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}, } @techreport{zahorka_umbrello_2019, title = {{UmBrello} {Digitale}.{Dorf}.{Dienste} für {Alle}}, url = {https://research.fhstp.ac.at/projekte/umbrello-digitale.dorf.dienste/whitepaper-umbrello}, language = {Deutsch}, author = {Zahorka, Florian and Schwab, Caterine and Doppler, Jakob and Heller, Mario and Judmaier, Peter and Schöffer, Lucas and Pflegerl, Johannes and Raberger, Anna-Maria and Freisleben-Teutscher, Christian and Grüblbauer, Johanna}, year = {2019}, keywords = {Ilse Arlt Institut}, }