Stimulation frequency history alters length-force characteristics of fully recruited rat muscle

1997 ◽  
Vol 7 (3) ◽  
pp. 161-177 ◽  
Author(s):  
Boris Roszek ◽  
Peter A. Huijing
1994 ◽  
Vol 77 (5) ◽  
pp. 2115-2124 ◽  
Author(s):  
B. Roszek ◽  
G. C. Baan ◽  
P. A. Huijing

Effects of decreasing stimulation frequency on length-force characteristics were determined for rat medial gastrocnemius muscle. The peripheral nerve was stimulated supramaximally with a succession of twitch and frequencies of 100, 50, 40, 30, and 15 Hz. Active peak tetanic and twitch forces and active muscle geometry were analyzed. Optimal muscle length and active slack length shifted significantly (P < 0.05) to higher muscle length by a maximum of 2.8 and 3.2 mm, respectively. Further significant effects were found for distal fiber length and mean sarcomere length of distal fiber (increases) and for fiber angle and aponeurosis length (decreases). Neither muscle length range between active slack and optimal length nor aponeurosis angle was altered significantly. We concluded that decreasing stimulation frequency-dependent length-force characteristics are affected by a complex interaction of length-dependent calcium sensitivity, potentiation of the contractile system, distribution of sarcomere length, and interactions between force exerted and aponeurosis length. Length-dependent calcium sensitivity seems to be a major factor determining the magnitude of the shift of optimal muscle length.


2007 ◽  
Vol 115 (S 1) ◽  
Author(s):  
K Stadlbauer ◽  
B Brunmair ◽  
Z Szöcs ◽  
M Krebs ◽  
A Luger ◽  
...  

Diabetes ◽  
1991 ◽  
Vol 40 (2) ◽  
pp. 275-279 ◽  
Author(s):  
S. A. Wake ◽  
J. A. Sowden ◽  
L. H. Storlien ◽  
D. E. James ◽  
P. W. Clark ◽  
...  

2019 ◽  
Vol 47 (2) ◽  
pp. 118-140
Author(s):  
Artem Kusachov ◽  
Fredrik Bruzelius ◽  
Mattias Hjort ◽  
Bengt J. H. Jacobson

ABSTRACT Commonly used tire models for vehicle-handling simulations are derived from the assumption of a flat and solid surface. Snow surfaces are nonsolid and may move under the tire. This results in inaccurate tire models and simulation results that are too far from the true phenomena. This article describes a physically motivated tire model that takes the effect of snow shearing into account. The brush tire model approach is used to describe an additional interaction between the packed snow in tire tread pattern voids with the snow road surface. Fewer parameters and low complexity make it suitable for real-time applications. The presented model is compared with test track tire measurements from a large set of different tires. Results suggest higher accuracy compared with conventional tire models. Moreover, the model is also proven to be capable of correctly predicting the self-aligning torque given the force characteristics.


1999 ◽  
Author(s):  
Neil R. Garrigan ◽  
Albert Storace ◽  
Wen L. Soong ◽  
Thomas A. Lipo ◽  
Charles M. Stephens

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