Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Michael C Rosenberg"'
Discovering individual-specific gait signatures from data-driven models of neuromechanical dynamics.
Autor:
Taniel S Winner, Michael C Rosenberg, Kanishk Jain, Trisha M Kesar, Lena H Ting, Gordon J Berman
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 10, p e1011556 (2023)
Locomotion results from the interactions of highly nonlinear neural and biomechanical dynamics. Accordingly, understanding gait dynamics across behavioral conditions and individuals based on detailed modeling of the underlying neuromechanical system
Externí odkaz:
https://doaj.org/article/1334012e51f4454280f4d4d1a810f0bf
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract Understanding individuals’ distinct movement patterns is crucial for health, rehabilitation, and sports. Recently, we developed a machine learning-based framework to show that “gait signatures” describing the neuromechanical dynamics g
Externí odkaz:
https://doaj.org/article/aa2b2d1393e3466d81b8fdf67f30e62d
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Ankle exoskeletons alter whole-body walking mechanics, energetics, and stability by altering center-of-mass (CoM) motion. Controlling the dynamics governing CoM motion is, therefore, critical for maintaining efficient and stable gait. Howeve
Externí odkaz:
https://doaj.org/article/885862cf331f447a8c1a32b331a53696
We currently lack a theoretical framework capable of characterizing heterogeneous responses to exoskeleton interventions. Predicting an individual’s response to an exoskeleton and understanding what data are needed to characterize responses has bee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f40af9e62190ec6788f73ad88094e9cc
https://doi.org/10.1101/2023.01.20.524757
https://doi.org/10.1101/2023.01.20.524757
Locomotion results from the interactions of highly nonlinear neural and biomechanical dynamics. Accordingly, understanding gait dynamics across behavioral conditions and individuals based on detailed modeling of the underlying neuromechanical system
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99c42391d7f5a8282236e0692d537f78
https://doi.org/10.1101/2022.12.22.521665
https://doi.org/10.1101/2022.12.22.521665
Autor:
Michael C. Rosenberg, Hannah Christianson, Justin Liu, Vincent Santucci, Payton Sims, Alex Schilder, Laura Zajac-Cox, Taniel S. Winner, Lena H. Ting, Trisha M. Kesar
BackgroundA common perspective in post-stroke gait training is that walking at the fastest safe speed maximizes the quality of gait biomechanics, with limited detrimental effects on compensatory biomechanics and inter-limb asymmetry. Thisfastest is b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3b11601aa9b8fd2c2c1c0a4e12d16ed
https://doi.org/10.1101/2022.12.14.22283438
https://doi.org/10.1101/2022.12.14.22283438
Autor:
Michael C. Rosenberg, Alexandra Slusarenko, Ke Cao, J. Lucas McKay, Laura Emmery, Trisha M. Kesar, Madeleine E. Hackney
IntroductionDance-based therapies are an emerging form of movement therapy aiming to improve motor and cognitive function in older adults with mild cognitive impairments (MCIs). Despite promising effects of dance-based therapies on function, it remai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::370c8af37b6729645b935014a58986fc
https://doi.org/10.1101/2022.09.09.507368
https://doi.org/10.1101/2022.09.09.507368
Predicting ankle exoskeleton impacts on an individual’s walking function, stability, and efficiency remains challenging. Characterizing how the dynamics underlying center-of-mass (COM) mechanics and energetics change with exoskeletons may improve p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da7ce7547dafa71733130366a473bc0b
https://doi.org/10.1101/2022.01.31.478514
https://doi.org/10.1101/2022.01.31.478514
Publikováno v:
J R Soc Interface
IIAbstractDespite recent innovations in exoskeleton design and control, predicting subject-specific impacts of exoskeletons on gait remains challenging. We evaluated the ability of three classes of subject-specific phase-varying models to predict kin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cda1e9b7c32b4b57f8d5be12833c4b3c
https://doi.org/10.1098/rsif.2020.0487
https://doi.org/10.1098/rsif.2020.0487
Publikováno v:
PLoS ONE
PLoS ONE, Vol 12, Iss 7, p e0180219 (2017)
PLoS ONE, Vol 12, Iss 7, p e0180219 (2017)
Passive ankle foot orthoses (AFOs) are often prescribed for children with cerebral palsy (CP) to assist locomotion, but predicting how specific device designs will impact energetic demand during gait remains challenging. Powered AFOs have been shown
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::134df86279a3131de547e0d0c75dbb54
https://doi.org/10.1371/journal.pone.0180219
https://doi.org/10.1371/journal.pone.0180219