Effect of different walking speeds on joint and muscle force estimation using AnyBody and OpenSim

Alexander, N ORCID: https://orcid.org/0000-0002-2864-2246, Schwameder, H ORCID: https://orcid.org/0000-0002-0380-8801, Baker, RJ ORCID: https://orcid.org/0000-0003-4759-4216 and Trinler, U 2021, 'Effect of different walking speeds on joint and muscle force estimation using AnyBody and OpenSim' , Gait & Posture, 90 , pp. 197-203.

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Abstract

Background: To be able to use muscluloskeletal models in clinical settings, it is important to understand the effect of walking speed on joint and muscle force estimations in different generic musculoskeletal models.
Research question: The aim of the current study is to compare estimated joint and muscle forces as a function of walking speed between two standard approaches offered in two different modelling environments (AnyBody and OpenSim).
Methods: Experimental data of 10 healthy participants were recorded at three different walking speeds (self-selected, 25 % slower, 25 % faster) using a ten-camera motion capture system together with four force plates embedded into a ten-meter walkway. Joint compression forces and muscle forces were calculated with a generic model in AnyBody and OpenSim. Trend analyses, mean absolute error (MAE) and correlation coefficients were used to compare joint compression forces and muscle forces between the two approaches. A one-way and two-way ANOVA with repeated measures were used to compare MAE and trend analysis changes, respectively (α = 0.05, Bonferroni corrected post-hoc tests).
Results: Trend analyses showed the same speed effect for AnyBody and OpenSim. MAEs increased significantly from slow to fast walking for knee joint compression forces, biceps femoris long head, gluteus maximus, gluteus medius and vastus intermedius. Lower correlation coefficients during slower walking were found for quadriceps muscles, gluteus maximus and biceps femoris compared to normal and faster walking.
Significance: Lower correlation coefficients during slower walking are assumed to be due to a higher amount of solutions solving the muscle recruitment in musculoskeletal models. This indicates that decreasing walking speed is more prone to speed dependent differences regarding variability, while the absolute error increased with increasing walking speed. To conclude, different modelling environments can react differently to changes in walking speed, but overall results are promising regarding the generalization across different generic musculoskeletal models.

Item Type: Article
Additional Information: ** Article version: AM ** Embargo end date: 09-09-2022 ** From Elsevier via Jisc Publications Router ** Licence for AM version of this article starting on 09-09-2022: http://creativecommons.org/licenses/by-nc-nd/4.0/ **Journal IDs: issn 09666362 **History: issued 31-10-2021; published_online 09-09-2021; accepted 30-08-2021
Schools: Schools > School of Health and Society
Journal or Publication Title: Gait & Posture
Publisher: Elsevier
ISSN: 0966-6362
Related URLs:
SWORD Depositor: Publications Router
Depositing User: Publications Router
Date Deposited: 01 Dec 2021 09:46
Last Modified: 15 Feb 2022 14:46
URI: http://usir.salford.ac.uk/id/eprint/61830

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