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

lirmm-00631528, version 1

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

Hassan El Makssoud ^1, 2, David Guiraud ( Auteur à contacter de préférence , ) ^1, 2, Philippe Poignet () ^1, 2, Mitsuhiro Hayashibe (, ) ^1, 2, Pierre-Brice Wieber () ^3, 4, Ken Yoshida ^5, 6, Christine Azevedo Coste (, ) ^1, 2

Biological Cybernetics 105 (2011) 121-138

Résumé : 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 themicroscopic 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 byEMG 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

1 : Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM)
CNRS : UMR5506 – Université Montpellier II - Sciences et techniques
2 : DEMAR (INRIA Sophia Antipolis)
INRIA – CNRS : UMR5506 – Université Montpellier II - Sciences et techniques – Université Montpellier I
3 : Joint Robotics Laboratory AIST & CNRS (JRL)
AIST – CNRS : UMI3218
4 : BIPOP (INRIA Grenoble Rhône-Alpes / LJK Laboratoire Jean Kuntzmann)
INRIA – Laboratoire Jean Kuntzmann
5 : Indiana University - Purdue University Indianapolis (IUPUI)
Department of Biomedical Engineering
6 : Center for Sensory-Motor Interaction (SMI)
Aalborg University

lirmm-00631528, version 1
http://hal-lirmm.ccsd.cnrs.fr/lirmm-00631528
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Contributeur : David Guiraud <>
Soumis le : Mercredi 12 Octobre 2011, 15:52:00
Dernière modification le : Mercredi 12 Octobre 2011, 16:23:59

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DOI : 10.1007/s00422-011-0445-7

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%% lirmm-00631528, version 1
%% http://hal-lirmm.ccsd.cnrs.fr/lirmm-00631528
@article{elmakssoud:lirmm-00631528,
    hal_id = {lirmm-00631528},
    url = {http://hal-lirmm.ccsd.cnrs.fr/lirmm-00631528},
    title = {{Multiscale modeling of skeletal muscle properties and experimental validations in isometric conditions}},
    author = {El Makssoud, Hassan and Guiraud, David and Poignet, Philippe and Hayashibe, Mitsuhiro and Wieber, Pierre-Brice and Yoshida, Ken and Azevedo Coste, Christine},
    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 themicroscopic 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 byEMG 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}},
    keywords = {Muscle model * Parameters identification * Kalman filtering * Electrical stimulation},
    language = {Anglais},
    affiliation = {Laboratoire d'Informatique de Robotique et de Micro{\'e}lectronique de Montpellier - LIRMM , DEMAR - INRIA Sophia Antipolis , Joint Robotics Laboratory AIST \& CNRS - JRL , BIPOP - INRIA Grenoble Rh{\^o}ne-Alpes / LJK Laboratoire Jean Kuntzmann , Indiana University - Purdue University Indianapolis - IUPUI , Center for Sensory-Motor Interaction - SMI},
    pages = {121-138},
    journal = {Biological Cybernetics},
    volume = {105},
    audience = {internationale },
    doi = {10.1007/s00422-011-0445-7 },
    year = {2011},
    month = Jul,
}

%F lirmm-00631528, version 1
%0 Journal Article
%U http://hal-lirmm.ccsd.cnrs.fr/lirmm-00631528
%T Multiscale modeling of skeletal muscle properties and experimental validations in isometric conditions
%A El Makssoud, Hassan
%A Guiraud, David
%A Poignet, Philippe
%A Hayashibe, Mitsuhiro
%A Wieber, Pierre-Brice
%A Yoshida, Ken
%A Azevedo Coste, Christine
%+ Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier - LIRMM , DEMAR - INRIA Sophia Antipolis , Joint Robotics Laboratory AIST & CNRS - JRL , BIPOP - INRIA Grenoble Rhône-Alpes / LJK Laboratoire Jean Kuntzmann , Indiana University - Purdue University Indianapolis - IUPUI , Center for Sensory-Motor Interaction - SMI
%Z ROB-MIC/DEMAR : DEambulation et Mouvement ARtificiel, ROB-MIC/DEMAR
%X 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 themicroscopic 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 byEMG 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
%2 SPI:AUTO;SDV:IB
%G Anglais
%2 2010-02-04
%R 10.1007/s00422-011-0445-7
%J Biological Cybernetics
%2 internationale
%8 2011-07-15
%V 105
%P 121-138
%K Muscle model * Parameters identification * Kalman filtering * Electrical stimulation

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