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Muscle Strength and Mass Distribution Identification Toward Subject-Specific Musculoskeletal Modeling

Mitsuhiro Hayashibe 1, * Gentiane Venture 2 Ko Ayusawa 3 Yoshihiko Nakamura 3
* Corresponding author
1 DEMAR - Artificial movement and gait restoration
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : In current biomechanics approach, the assumptions are commonly used in body-segment parameters and muscle strength parameters due to the difficulty in accessing those subject-specific values. Especially in the rehabilitation and sports science where each subject can easily have quite different anthropometry and muscle condition due to disease, age or training history, it would be important to identify those parameters to take benefits correctly from the recent advances in computational musculoskeletal modeling. In this paper, Mass Distribution Identification to improve the joint torque estimation and Muscle Strength Identification to improve the muscle force estimation were performed combined with previously proposed methods in muscle tension optimization. This first result highlights that the reliable muscle force estimation could be extracted after these identifications. The proposed framework toward subject-specific musculoskeletal modeling would contribute to a patient-oriented computational rehabilitation.
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Submitted on : Wednesday, November 2, 2011 - 6:15:52 PM
Last modification on : Monday, May 17, 2021 - 12:00:04 PM
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Mitsuhiro Hayashibe, Gentiane Venture, Ko Ayusawa, Yoshihiko Nakamura. Muscle Strength and Mass Distribution Identification Toward Subject-Specific Musculoskeletal Modeling. IROS: Intelligent RObots and Systems, Sep 2011, San Francisco, United States. pp.3701-3707, ⟨10.1109/IROS.2011.6094863⟩. ⟨lirmm-00637754⟩

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