System identification of mechanomyogram of anterior tibial muscle evoked by electrical stimulation

T. Uchiyama, T. Yamaguchi, T. Higuchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The purpose of this study was to identify a mechanomyogram (MMG) system with subspace-based state space model identification (4SID), a black-box system identification method. The input data consisted of the electrical stimulation of the common peroneal nerve, which made the anterior tibial muscle contract. The output data consisted of the evoked MMG. The system was well identified with the sixthto tenth-order models. The transfer function was factorized to the second-order model describing the mechanical systems consisting of mass, viscosity and elasticity. The coefficients of the second-order model were evaluated, and the coefficients reflecting the elastic properties were classified into two groups: The group reflecting active muscle elements increased as the contraction level increased, while that reflecting passive elements such as skin or fat did not. These results suggest that the mechanical properties of both active muscle and passive tissue can be evaluated by the proposed method.

Original languageEnglish
Title of host publicationWorld Congress on Medical Physics and Biomedical Engineering
Subtitle of host publicationImage Processing, Biosignal Processing, Modelling and Simulation, Biomechanics
Pages133-136
Number of pages4
Edition4
DOIs
Publication statusPublished - 2009 Dec 1
EventWorld Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics - Munich, Germany
Duration: 2009 Sep 72009 Sep 12

Publication series

NameIFMBE Proceedings
Number4
Volume25
ISSN (Print)1680-0737

Other

OtherWorld Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics
CountryGermany
CityMunich
Period09/9/709/9/12

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ASJC Scopus subject areas

  • Bioengineering
  • Biomedical Engineering

Cite this

Uchiyama, T., Yamaguchi, T., & Higuchi, T. (2009). System identification of mechanomyogram of anterior tibial muscle evoked by electrical stimulation. In World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics (4 ed., pp. 133-136). (IFMBE Proceedings; Vol. 25, No. 4). https://doi.org/10.1007/978-3-642-03882-2-34