Correlating Skeletal Muscle Output Force and Intramuscular Pressure Via a Three-Dimensional Finite Element Muscle Model

Author:

El Bojairami Ibrahim1,Driscoll Mark2

Affiliation:

1. Department of Mechanical Engineering, Musculoskeletal Biomechanics Research Laboratory, McGill University, Macdonald Engineering Building Office #163, 817 Sherbrooke Street West, Montreal, QC H3A 0C3, Canada

2. Department of Mechanical Engineering, Musculoskeletal Biomechanics Research Laboratory, McGill University, Macdonald Engineering Building Office #153, 817 Sherbrooke Street West, Montreal, QC H3A 0C3, Canada

Abstract

Abstract The inclusion of muscle pressure in muscle models may have important implications in biomechanics. This notion builds from the known correlation between muscle contractile force and internal pressure. However, this relation is often omitted in numerical models leveraged to study biomechanics. Thus, the purpose of this study was to develop and validate a method of modeling muscles, via finite elements, inclusive of the correlation between muscle contractile force and intramuscular pressure. A magnetic resonance imaging (MRI)-scanned tibialis anterior muscle was modeled via a simple, yet easily scalable, mixed shell and pressure finite element model. Then a validation study was conducted on intramuscular pressure, resulting from applied muscle contractile force, through leveraging special fluid elements type. The fluid–structure-based model and adopted methods exhibited muscle forces and intramuscular pressure that were highly linearly correlated. Indirect validation was achieved with a maximum discrepancy of 7.25%. Furthermore, force-length curves followed a trend similar to documented conventional muscle data, which added to the model's validity. Mesh, material properties, and tendon stiffness sensitivity studies supported the model's robustness. This study has introduced a novel three-dimensional finite element modeling method that respects the physiological force and intramuscular pressure relationship. Although similar models have been previously explored, their complex physiological representation and time-consuming solvers make their scalability and real-time implementation questionable. Thus, the developed model may address such limitations while improving the realism of volumetric finite element models inclusive of muscle contribution.

Funder

Faculty of Engineering, McGill University

Fonds de Recherche du Québec - Nature et Technologies

Natural Sciences and Engineering Research Council of Canada

Publisher

ASME International

Subject

Physiology (medical),Biomedical Engineering

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