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Sensitivity of musculoskeletal models to variation in muscle architecture parameters

Bibliographic Data

ID7989647
AuthorsP A Kramer (0000-0002-6435-9130, University of Washington, corresponding author), Elen M Feuerriegel (0000-0002-3365-0574, University of Washington), Steven G Lautzenheiser (0000-0001-7999-0702, University of Tennessee at Knoxville), Adam D Sylvester (0000-0002-5234-074X, Johns Hopkins Medicine)
Year2022
Volume4
Pagese6-e6
Publication date2022-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEvolutionary Human Sciences (JOURNAL)
Journal identifiersISSN: 2513-843X • E-ISSN: 2513-843X
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/ehs.2022.6
PMID37588892
OpenAlexW4213099722
LanguageEN
Citations received1
References cited27

Musculoskeletal models, like all theoretical models of physical processes, depend on the assumptions needed to construct the model. For musculoskeletal models, these assumptions include, among other things, the kinematic data, the kinetic data and the muscle parameters. The former (dynamic) data can be acquired relatively easily from living subjects, but the latter are usually based on limited information, frequently determined from cadaver studies performed on elderly individuals. Previously, we determined the sensitivity of forces to dynamic differences among 10 humans walking on a straight path. Here, we assess the sensitivity of the muscle and joint reaction forces developed in human walking to variable muscle parameters obtained from 10 living adults, whose data were recently reported, and compared the results with the values from a standard model that depends on cadaveric data. We found that, while the force patterns across the stance cycle were similar among muscle parameter models, differences of as much as 15% in the force magnitude were produced. Whether or not the variation between the standard model and other muscle parameters is important depends on why the forces are required

Muscle architecture · Physical medicine and rehabilitation · Physics · Sensitivity (control systems · Variation (astronomy · Computer Science · Engineering · Medicine · Motor Control and Adaptation · Muscle activation and electromyography studies · Sports Performance and Training · Anatomy

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Unique citing works1
Citations per year0,25
Citation span2022 - 2022 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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