Muscle mass in musculoskeletal models.

Most current models of musculoskeletal dynamics lump a muscle's mass with its body segment, and then simulate the dynamics of these body segments connected by joints. As shown here, this popular approach leads to errors in the system's inertia matrix and hence in all aspects of the dynamics. Two simplified mathematical models were created to capture the relevant features of monoarticular and biarticular muscles, and the errors were analyzed. The models were also applied to two physiological examples: the triceps surae muscles that plantar flex the human ankle and the biceps femoris posterior muscle of the rat hind limb. The analysis of errors due to lumping showed that these errors can be large. Although the errors can be reduced in some postures, they cannot be easily eliminated in models that use segment lumping. Some options for addressing these errors are discussed.

[1]  Dinesh K. Pai,et al.  Musculotendon simulation for hand animation , 2008, SIGGRAPH 2008.

[2]  J. Challis,et al.  The influence of soft tissue movement on ground reaction forces, joint torques and joint reaction forces in drop landings. , 2006, Journal of biomechanics.

[3]  L. Ting,et al.  Biomechanical capabilities influence postural control strategies in the cat hindlimb. , 2007, Journal of biomechanics.

[4]  Dinesh K. Pai,et al.  Forward dynamics algorithms for multibody chains and contact , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

[5]  N. Crevier-Denoix,et al.  Reproducibility of a non-invasive ultrasonic technique of tendon force measurement, determined in vitro in equine superficial digital flexor tendons. , 2009, Journal of biomechanics.

[6]  Rahman Davoodi,et al.  Model-Based Development of Neural Prostheses for Movement , 2007, IEEE Transactions on Biomedical Engineering.

[7]  Richard M. Murray,et al.  A Mathematical Introduction to Robotic Manipulation , 1994 .

[8]  L. Chèze,et al.  Adjustments to McConville et al. and Young et al. body segment inertial parameters. , 2007, Journal of biomechanics.

[9]  W S Levine,et al.  An optimal control model for maximum-height human jumping. , 1990, Journal of biomechanics.

[10]  Ayman Habib,et al.  OpenSim: Open-Source Software to Create and Analyze Dynamic Simulations of Movement , 2007, IEEE Transactions on Biomedical Engineering.

[11]  P. de Leva Adjustments to Zatsiorsky-Seluyanov's segment inertia parameters. , 1996, Journal of biomechanics.

[12]  W Herzog,et al.  The history dependence of force production in mammalian skeletal muscle following stretch-shortening and shortening-stretch cycles. , 2000, Journal of biomechanics.

[13]  Will L. Johnson,et al.  A three-dimensional model of the rat hindlimb: musculoskeletal geometry and muscle moment arms. , 2008, Journal of biomechanics.

[14]  V. Edgerton,et al.  Muscle architecture of the human lower limb. , 1983, Clinical orthopaedics and related research.

[15]  Ren G Dong,et al.  Analysis of musculoskeletal loading in an index finger during tapping. , 2008, Journal of biomechanics.

[16]  S. Delp,et al.  Three-Dimensional Representation of Complex Muscle Architectures and Geometries , 2005, Annals of Biomedical Engineering.

[17]  S. Delp,et al.  A 3D model of muscle reveals the causes of nonuniform strains in the biceps brachii. , 2005, Journal of biomechanics.

[18]  Anthony Jarc,et al.  Simplified and effective motor control based on muscle synergies to exploit musculoskeletal dynamics , 2009, Proceedings of the National Academy of Sciences.

[19]  Laura H. Smallwood,et al.  Scaling of muscle architecture and fiber types in the rat hindlimb , 2008, Journal of Experimental Biology.

[20]  John M. Hollerbach,et al.  Dynamic interactions between limb segments during planar arm movement , 1982, Biological Cybernetics.

[21]  William J Kargo,et al.  Jumping in frogs: assessing the design of the skeletal system by anatomically realistic modeling and forward dynamic simulation. , 2002, The Journal of experimental biology.

[22]  K. Schneider,et al.  A comparative study of impact dynamics: wobbling mass model versus rigid body models. , 1998, Journal of biomechanics.

[23]  Scott L. Delp,et al.  A computational framework for simulating and analyzing human and animal movement , 2000, Comput. Sci. Eng..

[24]  F. Zajac Muscle and tendon: properties, models, scaling, and application to biomechanics and motor control. , 1989, Critical reviews in biomedical engineering.

[25]  Ian E. Brown,et al.  Virtual muscle: a computational approach to understanding the effects of muscle properties on motor control , 2000, Journal of Neuroscience Methods.

[26]  R K Jensen,et al.  Human morphology: its role in the mechanics of movement. , 1993, Journal of biomechanics.

[27]  G K Cole,et al.  The clinical biomechanics award paper 1995 Lower extremity joint loading during impact in running. , 1996, Clinical biomechanics.