Raw data - Using musculoskeletal models to estimate in vivo TKR kinematics and loads: effect of differences between models

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
Tipologia del documento
Dataset
Autori
AutoreAffiliazioneORCID
Curreli, CristinaDepartment of Industrial Engineering, Alma Mater Studiorum - University of Bologna (IT); Medical Technology Lab, IRCCS Istituto Ortopedico Rizzoli, Bologna (IT)0000-0002-9904-3849
Settori scientifico-disciplinari
DOI
Contributors
Contributor
Affiliazione
ORCID
Tipo
Viceconti, Marco
Department of Industrial Engineering, Alma Mater Studiorum - University of Bologna (IT); Medical Technology Lab, IRCCS Istituto Ortopedico Rizzoli, Bologna (IT)
Supervisor
Curreli, Cristina
Department of Industrial Engineering, Alma Mater Studiorum - University of Bologna (IT); Medical Technology Lab, IRCCS Istituto Ortopedico Rizzoli, Bologna (IT)
Contact person
Data di deposito
20 Set 2021 15:25
Ultima modifica
20 Set 2021 15:25
Risorse collegate
Tipologia
Relazione
Identificativo
Nome del Progetto
MOBILISE-D - Connecting digital mobility assessment to clinical outcomes for regulatory and clinical endorsement
Programma di finanziamento
EC - H2020
URI

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