scholarly journals Muscle moment arms and sensitivity analysis of a mouse hindlimb musculoskeletal model

2016 ◽  
Vol 229 (4) ◽  
pp. 514-535 ◽  
Author(s):  
James P. Charles ◽  
Ornella Cappellari ◽  
Andrew J. Spence ◽  
Dominic J. Wells ◽  
John R. Hutchinson
2017 ◽  
Vol 231 (4) ◽  
pp. 568-584 ◽  
Author(s):  
Colleen Goh ◽  
Mary L. Blanchard ◽  
Robin H. Crompton ◽  
Michael M. Gunther ◽  
Sophie Macaulay ◽  
...  

2016 ◽  
Vol 38 (10) ◽  
pp. 1109-1114 ◽  
Author(s):  
Desney Greybe ◽  
Michael R. Boland ◽  
Kumar Mithraratne

2011 ◽  
Vol 366 (1570) ◽  
pp. 1530-1539 ◽  
Author(s):  
Edith M. Arnold ◽  
Scott L. Delp

Muscles actuate movement by generating forces. The forces generated by muscles are highly dependent on their fibre lengths, yet it is difficult to measure the lengths over which muscle fibres operate during movement. We combined experimental measurements of joint angles and muscle activation patterns during walking with a musculoskeletal model that captures the relationships between muscle fibre lengths, joint angles and muscle activations for muscles of the lower limb. We used this musculoskeletal model to produce a simulation of muscle–tendon dynamics during walking and calculated fibre operating lengths (i.e. the length of muscle fibres relative to their optimal fibre length) for 17 lower limb muscles. Our results indicate that when musculotendon compliance is low, the muscle fibre operating length is determined predominantly by the joint angles and muscle moment arms. If musculotendon compliance is high, muscle fibre operating length is more dependent on activation level and force–length–velocity effects. We found that muscles operate on multiple limbs of the force–length curve (i.e. ascending, plateau and descending limbs) during the gait cycle, but are active within a smaller portion of their total operating range.


Author(s):  
Claire Livet ◽  
Theo Rouvier ◽  
Georges Dumont ◽  
Charles Pontonnier

Abstract The current paper aims at proposing an automatic method to design and adjust simplified muscle paths of a musculoskeletal model. These muscle paths are composed of a limited set of via points and an optimization routine is developed to place these via points on the model in order to fit moment arms and musculotendon lengths input data. The method has been applied to a forearm musculoskeletal model extracted from the literature, using theoretical input data as an example. Results showed that for $75\%$ of the muscle set, the relative root mean square error was under $29.23\%$ for moment arms and of $1.09\%$ for musculotendon lengths with regard to the input data. These results confirm the ability of the method to automatically generate computationally efficient muscle paths for musculoskeletal simulations. Using only via points lowers computational expense compared to paths exhibiting wrapping objects. A proper balance between computational time and anatomical realism should be found to help those models being interpreted by practitioners.


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