Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Brian Horsak"'
Autor:
Bernhard Guggenberger, Brian Horsak, Andreas Habersack, Annika Kruse, Colin R. Smith, Hans Kainz, Martin Svehlik
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Patellofemoral instability is influenced by morphological factors and associated with compensational alterations in gait pattern. Recent simulation studies investigated the impact of knee morphology on the stability and loading of the patell
Externí odkaz:
https://doaj.org/article/09ec7d917f1a4dfdb6d4e08b334a7860
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-9 (2024)
Abstract This data descriptor introduces GaitRec-VR, a 3D gait analysis dataset consisting of 20 healthy participants (9 males, 11 females, age range 21–56) walking at self-selected speeds in a real-world laboratory and the virtual reality (VR) rep
Externí odkaz:
https://doaj.org/article/0ec80f6d7b224b6c8af40f7885c4fb1d
Autor:
Carlo Dindorf, Fabian Horst, Djordje Slijepčević, Bernhard Dumphart, Jonas Dully, Matthias Zeppelzauer, Brian Horsak, Michael Fröhlich
Publikováno v:
Current Issues in Sport Science, Vol 9, Iss 4 (2024)
Biomechanical data collection was largely confined to controlled laboratory setups, relying on marker-based systems or force platforms. However, the emergence of wearable sensors and markerless motion capture has revolutionized this field, enabling d
Externí odkaz:
https://doaj.org/article/6318c743feb04a00b6704788dc5fcf46
Publikováno v:
Frontiers in Virtual Reality, Vol 5 (2024)
Externí odkaz:
https://doaj.org/article/018432a19cb54e3e8ed3bb01cde4311a
Autor:
Fabian Horst, Djordje Slijepcevic, Marvin Simak, Brian Horsak, Wolfgang Immanuel Schöllhorn, Matthias Zeppelzauer
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 21, Iss , Pp 3414-3423 (2023)
Human gait is a complex and unique biological process that can offer valuable insights into an individual’s health and well-being. In this work, we leverage a machine learning-based approach to model individual gait signatures and identify factors
Externí odkaz:
https://doaj.org/article/61c3a247c28e4e10995aa02ea5d8d83c
Autor:
Djordje Slijepcevic, Matthias Zeppelzauer, Fabian Unglaube, Andreas Kranzl, Christian Breiteneder, Brian Horsak
Publikováno v:
IEEE Access, Vol 11, Pp 65906-65923 (2023)
This work investigates the effectiveness of various machine learning (ML) methods in classifying human gait patterns associated with cerebral palsy (CP) and examines the clinical relevance of the learned features using explainability approaches. We t
Externí odkaz:
https://doaj.org/article/2dd2d7e0c90c4216909a10358ecddd3e
Autor:
Brian Horsak, Caterine Schwab, Sebastian Durstberger, Alexandra Thajer, Susanne Greber-Platzer, Hans Kainz, Ilse Jonkers, Andreas Kranzl
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
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
Externí odkaz:
https://doaj.org/article/4e36e73400814a90b453ec99a1c13a29
Autor:
Brian Horsak, Mark Simonlehner, Lucas Schöffer, Bernhard Dumphart, Arian Jalaeefar, Matthias Husinsky
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 9 (2021)
Virtual reality (VR) is an emerging technology offering tremendous opportunities to aid gait rehabilitation. To this date, real walking with users immersed in virtual environments with head-mounted displays (HMDs) is either possible with treadmills o
Externí odkaz:
https://doaj.org/article/761be6a2436f4a998e2d4bb918702258
Autor:
Alexandra Thajer, Gabriele Skacel, Katharina Truschner, Anselm Jorda, Martin Vasek, Brian Horsak, Johanna Strempfl, Alexandra Kautzky-Willer, Franz Kainberger, Susanne Greber-Platzer
Publikováno v:
Children, Vol 8, Iss 4, p 295 (2021)
(1) Background: The determination of body composition is an important method to investigate patients with obesity and to evaluate the efficacy of individualized medical interventions. Bioelectrical impedance-based methods are non-invasive and widely
Externí odkaz:
https://doaj.org/article/e346894eeb8842a4b340077236763531
Autor:
Victor Adriel de Jesus Oliveira, Djordje Slijepčević, Bernhard Dumphart, Stefan Ferstl, Joschua Reis, Anna-Maria Raberger, Mario Heller, Brian Horsak, Michael Iber
Publikováno v:
Personal and Ubiquitous Computing.
In this paper, we describe a proof-of-concept for the implementation of a wearable auditory biofeedback system based on a sensor-instrumented insole. Such a system aims to assist everyday users with static and dynamic exercises for gait rehabilitatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5ff74810d186a5a9b20525ab8885764
https://doi.org/10.1007/s00779-023-01723-2
https://doi.org/10.1007/s00779-023-01723-2