Literature DB >> 12042328

Jumping in frogs: assessing the design of the skeletal system by anatomically realistic modeling and forward dynamic simulation.

William J Kargo1, Frank Nelson, Lawrence C Rome.   

Abstract

Comparative musculoskeletal modeling represents a tool to understand better how motor system parameters are fine-tuned for specific behaviors. Frog jumping is a behavior in which the physical properties of the body and musculotendon actuators may have evolved specifically to extend the limits of performance. Little is known about how the joints of the frog contribute to and limit jumping performance. To address these issues, we developed a skeletal model of the frog Rana pipiens that contained realistic bones, joints and body-segment properties. We performed forward dynamic simulations of jumping to determine the minimal number of joint degrees of freedom required to produce maximal-distance jumps and to produce jumps of varied take-off angles. The forward dynamics of the models was driven with joint torque patterns determined from inverse dynamic analysis of jumping in experimental frogs. When the joints were constrained to rotate in the extension-flexion plane, the simulations produced short jumps with a fixed angle of take-off. We found that, to produce maximal-distance jumping, the skeletal system of the frog must minimally include a gimbal joint at the hip (three rotational degrees of freedom), a universal Hooke's joint at the knee (two rotational degrees of freedom) and pin joints at the ankle, tarsometatarsal, metatarsophalangeal and iliosacral joints (one rotational degree of freedom). One of the knee degrees of freedom represented a unique kinematic mechanism (internal rotation about the long axis of the tibiofibula) and played a crucial role in bringing the feet under the body so that maximal jump distances could be attained. Finally, the out-of-plane degrees of freedom were found to be essential to enable the frog to alter the angle of take-off and thereby permit flexible neuromotor control. The results of this study form a foundation upon which additional model subsystems (e.g. musculotendon and neural) can be added to test the integrative action of the neuromusculoskeletal system during frog jumping.

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Year:  2002        PMID: 12042328     DOI: 10.1242/jeb.205.12.1683

Source DB:  PubMed          Journal:  J Exp Biol        ISSN: 0022-0949            Impact factor:   3.312


  18 in total

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4.  A simple experimentally based model using proprioceptive regulation of motor primitives captures adjusted trajectory formation in spinal frogs.

Authors:  William J Kargo; Arun Ramakrishnan; Corey B Hart; Lawrence C Rome; Simon F Giszter
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5.  Estimation of musculoskeletal models from in situ measurements of muscle action in the rat hindlimb.

Authors:  Sang Hoon Yeo; Christopher H Mullens; Thomas G Sandercock; Dinesh K Pai; Matthew C Tresch
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7.  Muscle mass in musculoskeletal models.

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Journal:  J Biomech       Date:  2010-06-23       Impact factor: 2.712

8.  Biomechanical properties of anuran long bones: correlations with locomotor modes and habitat use.

Authors:  Miriam Corina Vera; José Luis Ferretti; Virginia Abdala; Gustavo Roberto Cointry
Journal:  J Anat       Date:  2020-02-12       Impact factor: 2.921

9.  Musculoskeletal modelling of an ostrich (Struthio camelus) pelvic limb: influence of limb orientation on muscular capacity during locomotion.

Authors:  John R Hutchinson; Jeffery W Rankin; Jonas Rubenson; Kate H Rosenbluth; Robert A Siston; Scott L Delp
Journal:  PeerJ       Date:  2015-06-11       Impact factor: 2.984

10.  Responsive materials: a novel design for enhanced machine-augmented composites.

Authors:  Ehsan Bafekrpour; Andrey Molotnikov; James C Weaver; Yves Brechet; Yuri Estrin
Journal:  Sci Rep       Date:  2014-01-21       Impact factor: 4.379

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