A validated model of passive skeletal muscle to predict force and intramuscular pressure

Benjamin B. Wheatley, Gregory M. Odegard, Kenton R Kaufman, Tammy L. Haut Donahue

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

The passive properties of skeletal muscle are often overlooked in muscle studies, yet they play a key role in tissue function in vivo. Studies analyzing and modeling muscle passive properties, while not uncommon, have never investigated the role of fluid content within the tissue. Additionally, intramuscular pressure (IMP) has been shown to correlate with muscle force in vivo and could be used to predict muscle force in the clinic. In this study, a novel model of skeletal muscle was developed and validated to predict both muscle stress and IMP under passive conditions for the New Zealand White Rabbit tibialis anterior. This model is the first to include fluid content within the tissue and uses whole muscle geometry. A nonlinear optimization scheme was highly effective at fitting model stress output to experimental stress data (normalized mean square error or NMSE fit value of 0.993) and validation showed very good agreement to experimental data (NMSE fit values of 0.955 and 0.860 for IMP and stress, respectively). While future work to include muscle activation would broaden the physiological application of this model, the passive implementation could be used to guide surgeries where passive muscle is stretched.

Original languageEnglish (US)
Pages (from-to)1-12
Number of pages12
JournalBiomechanics and Modeling in Mechanobiology
DOIs
StateAccepted/In press - Dec 31 2016

Fingerprint

Skeletal muscle
Muscle
Skeletal Muscle
Pressure
Predict
Muscles
Model
Tissue
Fluid
Model Fitting
Rabbit
Nonlinear Optimization
Mean square error
Fluids
Correlate
Surgery
Activation
Experimental Data
Rabbits
Chemical activation

Keywords

  • Constitutive modeling
  • Finite element analysis
  • Hyperelastic
  • Optimization
  • Poroelastic
  • Viscoelastic

ASJC Scopus subject areas

  • Biotechnology
  • Modeling and Simulation
  • Mechanical Engineering

Cite this

A validated model of passive skeletal muscle to predict force and intramuscular pressure. / Wheatley, Benjamin B.; Odegard, Gregory M.; Kaufman, Kenton R; Haut Donahue, Tammy L.

In: Biomechanics and Modeling in Mechanobiology, 31.12.2016, p. 1-12.

Research output: Contribution to journalArticle

@article{36135f67b1874f369ad45bb16041bfd6,
title = "A validated model of passive skeletal muscle to predict force and intramuscular pressure",
abstract = "The passive properties of skeletal muscle are often overlooked in muscle studies, yet they play a key role in tissue function in vivo. Studies analyzing and modeling muscle passive properties, while not uncommon, have never investigated the role of fluid content within the tissue. Additionally, intramuscular pressure (IMP) has been shown to correlate with muscle force in vivo and could be used to predict muscle force in the clinic. In this study, a novel model of skeletal muscle was developed and validated to predict both muscle stress and IMP under passive conditions for the New Zealand White Rabbit tibialis anterior. This model is the first to include fluid content within the tissue and uses whole muscle geometry. A nonlinear optimization scheme was highly effective at fitting model stress output to experimental stress data (normalized mean square error or NMSE fit value of 0.993) and validation showed very good agreement to experimental data (NMSE fit values of 0.955 and 0.860 for IMP and stress, respectively). While future work to include muscle activation would broaden the physiological application of this model, the passive implementation could be used to guide surgeries where passive muscle is stretched.",
keywords = "Constitutive modeling, Finite element analysis, Hyperelastic, Optimization, Poroelastic, Viscoelastic",
author = "Wheatley, {Benjamin B.} and Odegard, {Gregory M.} and Kaufman, {Kenton R} and {Haut Donahue}, {Tammy L.}",
year = "2016",
month = "12",
day = "31",
doi = "10.1007/s10237-016-0869-z",
language = "English (US)",
pages = "1--12",
journal = "Biomechanics and Modeling in Mechanobiology",
issn = "1617-7959",
publisher = "Springer Verlag",

}

TY - JOUR

T1 - A validated model of passive skeletal muscle to predict force and intramuscular pressure

AU - Wheatley, Benjamin B.

AU - Odegard, Gregory M.

AU - Kaufman, Kenton R

AU - Haut Donahue, Tammy L.

PY - 2016/12/31

Y1 - 2016/12/31

N2 - The passive properties of skeletal muscle are often overlooked in muscle studies, yet they play a key role in tissue function in vivo. Studies analyzing and modeling muscle passive properties, while not uncommon, have never investigated the role of fluid content within the tissue. Additionally, intramuscular pressure (IMP) has been shown to correlate with muscle force in vivo and could be used to predict muscle force in the clinic. In this study, a novel model of skeletal muscle was developed and validated to predict both muscle stress and IMP under passive conditions for the New Zealand White Rabbit tibialis anterior. This model is the first to include fluid content within the tissue and uses whole muscle geometry. A nonlinear optimization scheme was highly effective at fitting model stress output to experimental stress data (normalized mean square error or NMSE fit value of 0.993) and validation showed very good agreement to experimental data (NMSE fit values of 0.955 and 0.860 for IMP and stress, respectively). While future work to include muscle activation would broaden the physiological application of this model, the passive implementation could be used to guide surgeries where passive muscle is stretched.

AB - The passive properties of skeletal muscle are often overlooked in muscle studies, yet they play a key role in tissue function in vivo. Studies analyzing and modeling muscle passive properties, while not uncommon, have never investigated the role of fluid content within the tissue. Additionally, intramuscular pressure (IMP) has been shown to correlate with muscle force in vivo and could be used to predict muscle force in the clinic. In this study, a novel model of skeletal muscle was developed and validated to predict both muscle stress and IMP under passive conditions for the New Zealand White Rabbit tibialis anterior. This model is the first to include fluid content within the tissue and uses whole muscle geometry. A nonlinear optimization scheme was highly effective at fitting model stress output to experimental stress data (normalized mean square error or NMSE fit value of 0.993) and validation showed very good agreement to experimental data (NMSE fit values of 0.955 and 0.860 for IMP and stress, respectively). While future work to include muscle activation would broaden the physiological application of this model, the passive implementation could be used to guide surgeries where passive muscle is stretched.

KW - Constitutive modeling

KW - Finite element analysis

KW - Hyperelastic

KW - Optimization

KW - Poroelastic

KW - Viscoelastic

UR - http://www.scopus.com/inward/record.url?scp=85007507369&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85007507369&partnerID=8YFLogxK

U2 - 10.1007/s10237-016-0869-z

DO - 10.1007/s10237-016-0869-z

M3 - Article

C2 - 28040867

AN - SCOPUS:85007507369

SP - 1

EP - 12

JO - Biomechanics and Modeling in Mechanobiology

JF - Biomechanics and Modeling in Mechanobiology

SN - 1617-7959

ER -