Models, data and supplementary material for 'Comparative Validation of two Patient-Specific Modelling Pipelines for Predicting Knee Joint Forces During Level Walking'

Princelle, Domitille (2023) Models, data and supplementary material for 'Comparative Validation of two Patient-Specific Modelling Pipelines for Predicting Knee Joint Forces During Level Walking'. University of Bologna. DOI 10.6092/unibo/amsacta/7153. [Dataset]
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Abstract

This dataset contains models, data and results, and supplementary figures and material related to the article "Comparative Validation of two Patient-Specific Modelling Pipelines for Predicting Knee Joint Forces During Level Walking". This dataset is built from the last four editions of the open source dataset of the "Grand Challenge Competition to Predict In Vivo Knee Loads" (Fregly et al., 2012), which is publicly available on the SimTK platform (https://simtk.org/projects/kneeloads).

Abstract
Tipologia del documento
Dataset
Autori
AutoreORCIDAffiliazioneROR
Princelle, Domitille0000-0002-1215-9268Alma Mater Studiorum - University of Bologna; IRCCS Istituto Ortopedico Rizzoli
Parole chiave
Musculokseletal model, Subject-specific model, image-based model, joint load, predictive accuracy
Settori scientifico-disciplinari
DOI
Contributors
Contributor
ORCID
Tipo
Affiliazione
Princelle, Domitille
Contact person
Alma Mater Studiorum - University of Bologna; IRCCS Istituto Ortopedico Rizzoli
Davico, Giorgio
Researcher
Alma Mater Studiorum - University of Bologna; IRCCS Istituto Ortopedico Rizzoli
Viceconti, Marco
Supervisor
Alma Mater Studiorum - University of Bologna; IRCCS Istituto Ortopedico Rizzoli
Data di deposito
02 Feb 2023 08:37
Ultima modifica
02 Set 2023 21:00
Nome del Progetto
ISW - In Silico World: Lowering barriers to ubiquitous adoption of In Silico Trials
Programma di finanziamento
EC - H2020
URI

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