Zobrazeno 1 - 10
of 34
pro vyhledávání: '"A. D. Koelewijn"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Knee ligament sprains are common during change-of-direction (COD) maneuvers in multidirectional team sports. This study aimed to compare the effects of an 8-week injury prevention exercise program containing COD-specific exercises and a simi
Externí odkaz:
https://doaj.org/article/59fd80d596d141f8a050a7914a024bbf
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/7786f358e2eb4cc080070e965351675c
Publikováno v:
PeerJ, Vol 10, p e13085 (2022)
Muscular co-contraction of antagonistic muscle pairs is often observed in human movement, but it is considered inefficient and it can currently not be predicted in simulations where muscular effort or metabolic energy are minimized. Here, we investig
Externí odkaz:
https://doaj.org/article/b9f15cb414de430dbfdb753be91b8c53
Autor:
Anne D. Koelewijn, Musa Audu, Antonio J. del-Ama, Annalisa Colucci, Josep M. Font-Llagunes, Antonio Gogeascoechea, Sandra K. Hnat, Nathan Makowski, Juan C. Moreno, Mark Nandor, Roger Quinn, Marc Reichenbach, Ryan-David Reyes, Massimo Sartori, Surjo Soekadar, Ronald J. Triolo, Mareike Vermehren, Christian Wenger, Utku S. Yavuz, Dietmar Fey, Philipp Beckerle
Publikováno v:
Frontiers in Neurorobotics, Vol 15 (2021)
Personalization of gait neuroprosthetics is paramount to ensure their efficacy for users, who experience severe limitations in mobility without an assistive device. Our goal is to develop assistive devices that collaborate with and are tailored to th
Externí odkaz:
https://doaj.org/article/e117667cbd8847208d0602121fbd3b8d
Autor:
Anne D. Koelewijn, Auke J. Ijspeert
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 8 (2020)
Humans control balance using different feedback loops involving the vestibular system, the visual system, and proprioception. In this article, we focus on proprioception and explore the contribution of reflexes based on force and length feedback to s
Externí odkaz:
https://doaj.org/article/7add26b8d01f412682f5d6bbdee81e63
Autor:
Eva Dorschky, Marlies Nitschke, Christine F. Martindale, Antonie J. van den Bogert, Anne D. Koelewijn, Bjoern M. Eskofier
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 8 (2020)
Machine learning is a promising approach to evaluate human movement based on wearable sensor data. A representative dataset for training data-driven models is crucial to ensure that the model generalizes well to unseen data. However, the acquisition
Externí odkaz:
https://doaj.org/article/e6f8d2c6e58844259f9d641817b0e671
Publikováno v:
PLoS ONE, Vol 14, Iss 9, p e0222037 (2019)
This paper compares predictions of metabolic energy expenditure in gait using seven metabolic energy expenditure models to assess their correlation with experimental data. Ground reaction forces, marker data, and pulmonary gas exchange data were reco
Externí odkaz:
https://doaj.org/article/dd01056f995c4123b40b70e254d7b4f5
Publikováno v:
2022 IEEE-EMBS International Conference on Wearable and Implantable Body Sensor Networks (BSN).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be5d7471138113556bc791bc43b29bdd
https://doi.org/10.1109/bsn56160.2022.9928474
https://doi.org/10.1109/bsn56160.2022.9928474
Autor:
Anne D. Koelewijn, Jessica C. Selinger
Publikováno v:
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society. 30
Robotic exoskeletons have the potential to restore and enhance human mobility. However, optimally controlling these devices, to work in concert with human users, is challenging. Accurate model simulations of the interaction between exoskeletons and u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58073938db4acfe5332c3e45e61b089a
https://pubmed.ncbi.nlm.nih.gov/35797329
https://pubmed.ncbi.nlm.nih.gov/35797329
Autor:
Eva Dorschky, Valentina Camomilla, Jesse Davis, Peter Federolf, Jasper Reenalda, Anne D. Koelewijn
Publikováno v:
Human movement science. 87
Recent advances in wearable sensing and machine learning have created ample opportunities for "in the wild" movement analysis in sports, since the combination of both enables real-time feedback to be provided to athletes and coaches, as well as long-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf7e1f52bfb1f4aaaafe4b9b6f386776
https://pubmed.ncbi.nlm.nih.gov/36493569
https://pubmed.ncbi.nlm.nih.gov/36493569