Multiscale modeling of skeletal muscle properties and experimental validations in isometric conditions

Hassan El Makssoud, David Guiraud, Philippe Poignet, Mitsuhiro Hayashibe, Pierre Brice Wieber, Ken Yoshida, Christine Azevedo-Coste

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)

Abstract

In this article, we describe an approach to model the electromechanical behavior of the skeletal muscle based on the Huxley formulation. We propose a model that complies with a well established macroscopic behavior of striated muscles where force-length, force-velocity, and Mirsky-Parmley properties are taken into account. These properties are introduced at the microscopic scale and related to a tentative explanation of the phenomena. The method used integrates behavior ranging from the microscopic to the macroscopic scale, and allows the computation of the dynamics of the output force and stiffness controlled by EMG or stimulation parameters. The model can thus be used to simulate and carry out research to develop control strategies using electrical stimulation in the context of rehabilitation. Finally, through animal experiments, we estimated model parameters using a Sigma Point Kalman Filtering technique and dedicated experimental protocols in isometric conditions and demonstrated that the model can accurately simulate individual variations and thus take into account subject dependent behavior.

Original languageEnglish
Pages (from-to)121-138
Number of pages18
JournalBiological Cybernetics
Volume105
Issue number2
DOIs
Publication statusPublished - 2011 Aug
Externally publishedYes

Keywords

  • Electrical stimulation
  • Kalman filtering
  • Muscle model
  • Parameters identification

ASJC Scopus subject areas

  • Biotechnology
  • Computer Science(all)

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