Curreli, Cristina
(2021)
Raw data - Using musculoskeletal models to estimate in vivo TKR kinematics and loads: effect of differences between models.
University of Bologna.
DOI
10.6092/unibo/amsacta/6756.
[Dataset]
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Abstract
The dataset contains the results of the simulations performed to estimate in vivo total knee replacement (TKR) kinematics and loads presented in the paper “C. Curreli, F. Di Puccio, G. Davico, L. Modenese, and M. Viceconti, Using Musculoskeletal Models to Estimate in vivo Total Knee Replacement Kinematics and Loads: Effect of Differences Between Models, Frontiers in Bioengineering and Biotechnology, vol. 9, p. 611, 2021, doi: 10.3389/fbioe.2021.703508”.
Specifically, the dataset contains a comparison of the kinematic and dynamic results obtained with three different musculoskeletal models developed using the OpenSim software. A comparison between the predicted joint reaction forces and the in vivo loads measured by the instrumented knee implant is also reported. Experimental data used for the simulations were obtained from the fifth edition of the “Grand Challenge Competitions to Predict in vivo Knee Loads” (https://simtk.org/projects/kneeloads).
Abstract
The dataset contains the results of the simulations performed to estimate in vivo total knee replacement (TKR) kinematics and loads presented in the paper “C. Curreli, F. Di Puccio, G. Davico, L. Modenese, and M. Viceconti, Using Musculoskeletal Models to Estimate in vivo Total Knee Replacement Kinematics and Loads: Effect of Differences Between Models, Frontiers in Bioengineering and Biotechnology, vol. 9, p. 611, 2021, doi: 10.3389/fbioe.2021.703508”.
Specifically, the dataset contains a comparison of the kinematic and dynamic results obtained with three different musculoskeletal models developed using the OpenSim software. A comparison between the predicted joint reaction forces and the in vivo loads measured by the instrumented knee implant is also reported. Experimental data used for the simulations were obtained from the fifth edition of the “Grand Challenge Competitions to Predict in vivo Knee Loads” (https://simtk.org/projects/kneeloads).
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DOI
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Deposit date
20 Sep 2021 15:25
Last modified
20 Sep 2021 15:25
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EC - H2020
URI
Other metadata
Document type
Dataset
Creators
Subjects
DOI
Contributors
Deposit date
20 Sep 2021 15:25
Last modified
20 Sep 2021 15:25
Related identifier
Project name
Funding program
EC - H2020
URI
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