Davico, Giorgio
(2022)
Data - Effect of Suboptimal Neuromuscular Control on the Risk of Massive Wear in Total Knee Replacement.
University of Bologna.
DOI
10.6092/unibo/amsacta/6979.
[Dataset]
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Abstract
The dataset contains the results of the musculoskeletal simulations in OpenSim (i.e., knee joint contact forces - JCFs), which were provided as input to the FE analyses, and the results of the wear simulations in Ansys.
More specifically, the file named OpenSim_Results_JCFs.csv contains the predicted total knee joint contact forces, for each of the six walking trials and the three conditions (i.e., JCFact, JCFmet and JCFmax) analyzed, while the file Ansys_Results_WearSimulations.csv reports (1) the maximal contact pressure (on the medial and lateral compartments), (2) the contact area and the volume lost (on the medial and lateral compartments, separately and in total) and (3) the maximal wear depth.
NOTE: the raw experimental data used in this work to develop the models and run the simulations in OpenSim are part of the 6th Grand Challenge competition dataset, which is publicly available on the SimTK platform (https://simtk.org/frs/?group_id=413).
Abstract
The dataset contains the results of the musculoskeletal simulations in OpenSim (i.e., knee joint contact forces - JCFs), which were provided as input to the FE analyses, and the results of the wear simulations in Ansys.
More specifically, the file named OpenSim_Results_JCFs.csv contains the predicted total knee joint contact forces, for each of the six walking trials and the three conditions (i.e., JCFact, JCFmet and JCFmax) analyzed, while the file Ansys_Results_WearSimulations.csv reports (1) the maximal contact pressure (on the medial and lateral compartments), (2) the contact area and the volume lost (on the medial and lateral compartments, separately and in total) and (3) the maximal wear depth.
NOTE: the raw experimental data used in this work to develop the models and run the simulations in OpenSim are part of the 6th Grand Challenge competition dataset, which is publicly available on the SimTK platform (https://simtk.org/frs/?group_id=413).
Tipologia del documento
Dataset
Autori
Settori scientifico-disciplinari
DOI
Contributors
Data di deposito
03 Ago 2022 07:21
Ultima modifica
03 Ago 2022 07:21
Risorse collegate
Nome del Progetto
Programma di finanziamento
EC - H2020
URI
Altri metadati
Tipologia del documento
Dataset
Autori
Settori scientifico-disciplinari
DOI
Contributors
Data di deposito
03 Ago 2022 07:21
Ultima modifica
03 Ago 2022 07:21
Risorse collegate
Nome del Progetto
Programma di finanziamento
EC - H2020
URI
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