Development of a mathematical model that predicts optimal muscle activation patterns by using brief trains

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

Research output: Contribution to journalArticle

54 Citations (Scopus)

Abstract

Because muscles must be repetitively activated during functional electrical stimulation, it is desirable to identify the stimulation pattern that produces the most force. Previous experimental work has shown that the optimal pattern contains an initial high-frequency burst of pulses (i.e., an initial doublet or triplet) followed by a low, constant-frequency portion. Pattern optimization is particularly challenging, because a muscle's contractile characteristics and, therefore, the optimal pattern change under different physiological conditions and are different for each person. This work describes the continued development and testing of a mathematical model that predicts isometric forces from fresh and fatigued muscles in response to brief trains of electrical pulses. By use of this model and an optimization algorithm, stimulation patterns that produced maximum forces from each subject were identified.

Original languageEnglish (US)
Pages (from-to)917-925
Number of pages9
JournalJournal of Applied Physiology
Volume88
Issue number3
StatePublished - Mar 2000
Externally publishedYes

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Theoretical Models
Muscles
Electric Stimulation

Keywords

  • Doublets
  • Fatigue
  • Functional electrical stimulation
  • Human quadriceps femoris muscle
  • Variable-frequency trains

ASJC Scopus subject areas

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

Cite this

Development of a mathematical model that predicts optimal muscle activation patterns by using brief trains. / Ding, Jun; Wexler, Anthony S.; Binder-Macleod, Stuart A.

In: Journal of Applied Physiology, Vol. 88, No. 3, 03.2000, p. 917-925.

Research output: Contribution to journalArticle

Ding, Jun ; Wexler, Anthony S. ; Binder-Macleod, Stuart A. / Development of a mathematical model that predicts optimal muscle activation patterns by using brief trains. In: Journal of Applied Physiology. 2000 ; Vol. 88, No. 3. pp. 917-925.
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