A predictive model of fatigue in human skeletal muscles

Jun Ding, Anthony S. Wexler, Stuart A. Binder-Macleod

Research output: Contribution to journalArticle

74 Citations (Scopus)

Abstract

Fatigue is a major limitation to the clinical application of functional electrical stimulation. The activation pattern used during electrical stimulation affects force and fatigue. Identifying the activation pattern that produces the greatest force and least fatigue for each patient is, therefore, of great importance. Mathematical models that predict muscle forces and fatigue produced by a wide range of stimulation patterns would facilitate the search for optimal patterns. Previously, we developed a mathematical isometric force model that success-fully identified the stimulation patterns that produced the greatest forces from healthy subjects under nonfatigue and fatigue conditions. The present study introduces a four-parameter fatigue model, coupled with the force model that predicts the fatigue induced by different stimulation patterns on different days during isometric contractions. This fatigue model accounted for 90% of the variability in forces produced by different fatigue tests. The predicted forces at the end of fatigue testing differed from those observed by only 9%. This model demonstrates the potential for predicting muscle fatigue in response to a wide range of stimulation patterns.

Original languageEnglish (US)
Pages (from-to)1322-1332
Number of pages11
JournalJournal of Applied Physiology
Volume89
Issue number4
StatePublished - 2000
Externally publishedYes

Fingerprint

Fatigue
Skeletal Muscle
Muscle Fatigue
Electric Stimulation
Isometric Contraction
Healthy Volunteers
Theoretical Models

Keywords

  • Functional electrical stimulation
  • Muscle fatigue
  • Stimulation frequency
  • Stimulation pattern

ASJC Scopus subject areas

  • Physiology
  • Endocrinology
  • Orthopedics and Sports Medicine
  • Physical Therapy, Sports Therapy and Rehabilitation

Cite this

Ding, J., Wexler, A. S., & Binder-Macleod, S. A. (2000). A predictive model of fatigue in human skeletal muscles. Journal of Applied Physiology, 89(4), 1322-1332.

A predictive model of fatigue in human skeletal muscles. / Ding, Jun; Wexler, Anthony S.; Binder-Macleod, Stuart A.

In: Journal of Applied Physiology, Vol. 89, No. 4, 2000, p. 1322-1332.

Research output: Contribution to journalArticle

Ding, J, Wexler, AS & Binder-Macleod, SA 2000, 'A predictive model of fatigue in human skeletal muscles', Journal of Applied Physiology, vol. 89, no. 4, pp. 1322-1332.
Ding J, Wexler AS, Binder-Macleod SA. A predictive model of fatigue in human skeletal muscles. Journal of Applied Physiology. 2000;89(4):1322-1332.
Ding, Jun ; Wexler, Anthony S. ; Binder-Macleod, Stuart A. / A predictive model of fatigue in human skeletal muscles. In: Journal of Applied Physiology. 2000 ; Vol. 89, No. 4. pp. 1322-1332.
@article{62b3c26ab4a44a8599d6ad3449bffbba,
title = "A predictive model of fatigue in human skeletal muscles",
abstract = "Fatigue is a major limitation to the clinical application of functional electrical stimulation. The activation pattern used during electrical stimulation affects force and fatigue. Identifying the activation pattern that produces the greatest force and least fatigue for each patient is, therefore, of great importance. Mathematical models that predict muscle forces and fatigue produced by a wide range of stimulation patterns would facilitate the search for optimal patterns. Previously, we developed a mathematical isometric force model that success-fully identified the stimulation patterns that produced the greatest forces from healthy subjects under nonfatigue and fatigue conditions. The present study introduces a four-parameter fatigue model, coupled with the force model that predicts the fatigue induced by different stimulation patterns on different days during isometric contractions. This fatigue model accounted for 90{\%} of the variability in forces produced by different fatigue tests. The predicted forces at the end of fatigue testing differed from those observed by only 9{\%}. This model demonstrates the potential for predicting muscle fatigue in response to a wide range of stimulation patterns.",
keywords = "Functional electrical stimulation, Muscle fatigue, Stimulation frequency, Stimulation pattern",
author = "Jun Ding and Wexler, {Anthony S.} and Binder-Macleod, {Stuart A.}",
year = "2000",
language = "English (US)",
volume = "89",
pages = "1322--1332",
journal = "Journal of Applied Physiology",
issn = "8750-7587",
publisher = "American Physiological Society",
number = "4",

}

TY - JOUR

T1 - A predictive model of fatigue in human skeletal muscles

AU - Ding, Jun

AU - Wexler, Anthony S.

AU - Binder-Macleod, Stuart A.

PY - 2000

Y1 - 2000

N2 - Fatigue is a major limitation to the clinical application of functional electrical stimulation. The activation pattern used during electrical stimulation affects force and fatigue. Identifying the activation pattern that produces the greatest force and least fatigue for each patient is, therefore, of great importance. Mathematical models that predict muscle forces and fatigue produced by a wide range of stimulation patterns would facilitate the search for optimal patterns. Previously, we developed a mathematical isometric force model that success-fully identified the stimulation patterns that produced the greatest forces from healthy subjects under nonfatigue and fatigue conditions. The present study introduces a four-parameter fatigue model, coupled with the force model that predicts the fatigue induced by different stimulation patterns on different days during isometric contractions. This fatigue model accounted for 90% of the variability in forces produced by different fatigue tests. The predicted forces at the end of fatigue testing differed from those observed by only 9%. This model demonstrates the potential for predicting muscle fatigue in response to a wide range of stimulation patterns.

AB - Fatigue is a major limitation to the clinical application of functional electrical stimulation. The activation pattern used during electrical stimulation affects force and fatigue. Identifying the activation pattern that produces the greatest force and least fatigue for each patient is, therefore, of great importance. Mathematical models that predict muscle forces and fatigue produced by a wide range of stimulation patterns would facilitate the search for optimal patterns. Previously, we developed a mathematical isometric force model that success-fully identified the stimulation patterns that produced the greatest forces from healthy subjects under nonfatigue and fatigue conditions. The present study introduces a four-parameter fatigue model, coupled with the force model that predicts the fatigue induced by different stimulation patterns on different days during isometric contractions. This fatigue model accounted for 90% of the variability in forces produced by different fatigue tests. The predicted forces at the end of fatigue testing differed from those observed by only 9%. This model demonstrates the potential for predicting muscle fatigue in response to a wide range of stimulation patterns.

KW - Functional electrical stimulation

KW - Muscle fatigue

KW - Stimulation frequency

KW - Stimulation pattern

UR - http://www.scopus.com/inward/record.url?scp=0033779515&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0033779515&partnerID=8YFLogxK

M3 - Article

C2 - 11007565

AN - SCOPUS:0033779515

VL - 89

SP - 1322

EP - 1332

JO - Journal of Applied Physiology

JF - Journal of Applied Physiology

SN - 8750-7587

IS - 4

ER -