Analyzing Moment Arm Profiles in a Full-Muscle Rat Hindlimb Model

Understanding the kinematics of a hindlimb model is a fundamental aspect of modeling coordinated locomotion. This work describes the development process of a rat hindlimb model that contains a complete muscular system and incorporates physiological walking data to examine realistic muscle movements...

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Published inBiomimetics (Basel, Switzerland) Vol. 4; no. 1; p. 10
Main Authors Young, Fletcher, Rode, Christian, Hunt, Alex, Quinn, Roger
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 25.01.2019
MDPI
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Summary:Understanding the kinematics of a hindlimb model is a fundamental aspect of modeling coordinated locomotion. This work describes the development process of a rat hindlimb model that contains a complete muscular system and incorporates physiological walking data to examine realistic muscle movements during a step cycle. Moment arm profiles for selected muscles are analyzed and presented as the first steps to calculating torque generation at hindlimb joints. A technique for calculating muscle moment arms from muscle attachment points in a three-dimensional (3D) space has been established. This model accounts for the configuration of adjacent joints, a critical aspect of biarticular moment arm analysis that must be considered when calculating joint torque. Moment arm profiles from isolated muscle motions are compared to two existing models. The dependence of biarticular muscle's moment arms on the configuration of the adjacent joint is a critical aspect of moment arm analysis that must be considered when calculating joint torque. The variability in moment arm profiles suggests changes in muscle function during a step.
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This article is an extended version of our paper published in Lecture Notes in Artificial Intelligence, Volume 10928, Proceedings of the 7th International Conference on Biomimetic and Biohybrid Systems, Living Machines 2018, Paris, France, 17–20 July 2018; Vouloutsi, V., Halloy, J., Mura, A., Mangan, M., Lepora, N., Prescott, T.J., Verschure, P.F.M.J, Eds. Springer Nature: 2018; Paper No. 57, pp. 527–537.
ISSN:2313-7673
2313-7673
DOI:10.3390/biomimetics4010010