Knee joint contact forces predicted via an EMG-assisted approach and Static Optimization vs in vivo data from an instrumented implant

Davico, Giorgio ; Princelle, Domitille (2024) Knee joint contact forces predicted via an EMG-assisted approach and Static Optimization vs in vivo data from an instrumented implant. Alma Mater Studiorum - Università di Bologna. DOI 10.6092/unibo/amsacta/7528. [Dataset]

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Abstract

This dataset contains data generated as part of a study aimed to assess the predictive accuracy of two common approaches, i.e. Static Optimization and EMG-assisted approach, to estimate knee joint contact forces during an overground walking task, using musculoskeletal models. The analyses are based on publicly available data collected as part of the last four editions of the Grand Challenge Competition to Predict In Vivo Knee Loads (Fregly et al., 2012), which can be accessed and downloaded at this link: https://simtk.org/projects/kneeloads.

Abstract

Document type

Dataset

Creators

Creators	ORCID	Affiliation	ROR
Davico, Giorgio	0000-0002-2046-529X	Alma Mater Studiorum - University of Bologna; IRCCS Istituto Ortopedico Rizzoli
Princelle, Domitille	0000-0002-1215-9268	Alma Mater Studiorum - University of Bologna; IRCCS Istituto Ortopedico Rizzoli

Keywords

Musculokseletal model, Subject-specific model, image-based model, joint load, predictive accuracy

Subjects

Area 09 - Ingegneria industriale e dell'informazione > ING-IND/34 Bioingegneria industriale

DOI

10.6092/unibo/amsacta/7528

Contributors

Name

ORCID

Type

Affiliation

Davico, Giorgio