Document Detail


Human leg design: optimal axial alignment under constraints.
MedLine Citation:
PMID:  15164226     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Alignment of joints with respect to the leg axis reduces the moment arm of external forces and therefore joint torques. Moreover, it affects the gearing of muscle forces and displacements. Thus, it influences tissue stress, cost of support and locomotion, and stability. Assuming that alignment is of general advantage we propose a mathematical criterion quantifying the axial alignment using the static torque equilibrium of a three-segment leg. Using this criterion derived from joint torque minimisation we asked for optimal leg designs (segment lengths and joint angles) at varied leg lengths. The trivial "straight is best" solution is excluded and the configuration space is restricted by geometrical constraints such as the ground contact. For different total leg lengths we could identify different optimal segment length combinations and appropriately adjusted joint angles. The extended human leg configuration characterised by a short foot and a combination of unequal ankle and knee angles emerges as a global optimum from our analysis. For crouched configurations allowing for larger leg extensions an angle symmetrical 1:1:1 segment length combination is best. The plantigrade optimum is enforced by the requirement of the distal segment (foot) being shorter than the opposite outer segment (thigh), as well as by the ground contact constraint. Different (e.g. digitigrade) geometries might be of advantage in different biological contexts with different constraints. The fact that small mammals use a crouched equal segment design implies that other locomotor requirements such as stability, strain rates, and acceleration distance per step might dominate.
Authors:
Michael Günther; Valentin Keppler; André Seyfarth; Reinhard Blickhan
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2004-03-03
Journal Detail:
Title:  Journal of mathematical biology     Volume:  48     ISSN:  0303-6812     ISO Abbreviation:  J Math Biol     Publication Date:  2004 Jun 
Date Detail:
Created Date:  2004-05-27     Completed Date:  2005-01-05     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  7502105     Medline TA:  J Math Biol     Country:  Germany    
Other Details:
Languages:  eng     Pagination:  623-46     Citation Subset:  IM    
Affiliation:
Institut für Sportwissenschaft, Lehrstuhl Bewegungswissenschaft, Friedrich-Schiller-Universität, Seidelstrasse 20, D-07749 Jena, Germany. guenther@tat.physik.uni-tuebingen.de
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MeSH Terms
Descriptor/Qualifier:
Biomechanics
Foot / anatomy & histology,  physiology
Humans
Knee / anatomy & histology,  physiology
Leg / anatomy & histology*,  physiology
Models, Anatomic*

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