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
Document type
Dataset
Creators
CreatorsAffiliationORCID
Princelle, DomitilleAlma Mater Studiorum - University of Bologna; IRCCS Istituto Ortopedico Rizzoli0000-0002-1215-9268
Keywords
Musculokseletal model, Subject-specific model, image-based model, joint load, predictive accuracy
Subjects
DOI
Contributors
Name
Affiliation
ORCID
Type
Princelle, Domitille
Alma Mater Studiorum - University of Bologna; IRCCS Istituto Ortopedico Rizzoli
Contact person
Davico, Giorgio
Alma Mater Studiorum - University of Bologna; IRCCS Istituto Ortopedico Rizzoli
Researcher
Viceconti, Marco
Alma Mater Studiorum - University of Bologna; IRCCS Istituto Ortopedico Rizzoli
Supervisor
Deposit date
02 Feb 2023 08:37
Last modified
02 Sep 2023 21:00
Project name
ISW - In Silico World: Lowering barriers to ubiquitous adoption of In Silico Trials
Funding program
EC - H2020
URI

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