TY - JOUR
T1 - Multiscale modeling of skeletal muscle properties and experimental validations in isometric conditions
AU - El Makssoud, Hassan
AU - Guiraud, David
AU - Poignet, Philippe
AU - Hayashibe, Mitsuhiro
AU - Wieber, Pierre Brice
AU - Yoshida, Ken
AU - Azevedo-Coste, Christine
PY - 2011/8
Y1 - 2011/8
N2 - 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.
AB - 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.
KW - Electrical stimulation
KW - Kalman filtering
KW - Muscle model
KW - Parameters identification
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U2 - 10.1007/s00422-011-0445-7
DO - 10.1007/s00422-011-0445-7
M3 - Article
C2 - 21761241
AN - SCOPUS:80755139560
VL - 105
SP - 121
EP - 138
JO - Biological Cybernetics
JF - Biological Cybernetics
SN - 0340-1200
IS - 2
ER -