3D Modeling of Leg Muscle Using Mechanochemical Representations of Muscular Tissue and Solid Fibers

Author(s):  
Adrianna Bielak ◽  
Radosław Bednarski ◽  
Adam Wojciechowski
1997 ◽  
Vol 36 (04/05) ◽  
pp. 372-375 ◽  
Author(s):  
J. R. Sutton ◽  
A. J. Thomas ◽  
G. M. Davis

Abstract:Electrical stimulation-induced leg muscle contractions provide a useful model for examining the role of leg muscle neural afferents during low-intensity exercise in persons with spinal cord-injury and their able-bodied cohorts. Eight persons with paraplegia (SCI) and 8 non-disabled subjects (CONTROL) performed passive knee flexion/extension (PAS), electrical stimulation-induced knee flexion/extension (ES) and voluntary knee flexion/extension (VOL) on an isokinetic dynamometer. In CONTROLS, exercise heart rate was significantly increased during ES (94 ± 6 bpm) and VOL (85 ± 4 bpm) over PAS (69 ± 4 bpm), but no changes were observed in SCI individuals. Stroke volume was significantly augmented in SCI during ES (59 ± 5 ml) compared to PAS (46 ± 4 ml). The results of this study suggest that, in able-bodied humans, Group III and IV leg muscle afferents contribute to increased cardiac output during exercise primarily via augmented heart rate. In contrast, SCI achieve raised cardiac output during ES leg exercise via increased venous return in the absence of any change in heart rate.


2020 ◽  
Author(s):  
Christopher S. Graffeo ◽  
Avital Perry ◽  
Lucas P. Carlstrom ◽  
Michael J. Link ◽  
Jonathan Morris

2015 ◽  
Vol 2 (2) ◽  
pp. 72
Author(s):  
Slamet ' ◽  
Ali Mandan ◽  
Ardiah Juita ◽  
Ridwan Sinurat

This study is correlational research that aims to find the contribution of leg muscleexplosive power to yield long jump squat style. The student sample was the son of varsity sportscoaching education Riau semester totaling 42 people. As the independent variable is theexplosive power leg muscle while dependent variable is the result of the long jump jongok style.Data (x) obtained from the test results without the leading long jump (standing board jump) toassess leg muscle explosive power while data (y) obtained from testing the long jump squat styleusing the prefix. Data were analyzed with statistical normality test is a test last lilifors alsoanalyzed the data to look for the correlation coefficient, and then proceed to test "t" after itsought the contribution. From the results of data processing for the normal distribution of dataobtained for the provision of data (x) and abnormally distributed in terms of data (y). r = 0.32,then through the test "t", t_ (count>) ttabel then there is a significant relationship between theexplosive muscle power with the outcome long jump squat style, via analysis of leg muscleexplosive power of determination have contributed 10.24% and 89 , 76% was contributed byother factors.


2016 ◽  
Vol 1 (1) ◽  
pp. 51-58 ◽  
Author(s):  
Jean François Uhl ◽  
Maxime Chahim ◽  
François Cros ◽  
Amina Ouchene ◽  
◽  
...  

The 3D modeling of the vascular system could be achieved in different ways: In the venous location, the morphological modeling by MSCT venography is used to image the venous system: this morphological modeling tool accurately investigates the 3D morphology of the venous network of our patients with chronic venous disease. It is also a fine educational tool for students who learn venous anatomy, the most complex of the human body. Another kind of modeling (mathematical modeling) is used to simulate the venous functions, and virtually tests the efficacy of any proposed treatments. To image the arterial system, the aim of 3D modeling is to precisely assess and quantify the arterial morphology. The use of augmented reality before an endovascular procedure allows pre-treatment simulation, assisting in pre-operative planning as well as surgical training. In the special field of liver surgery, several 3D modeling software products are available for computer simulations and training purposes and augmented reality.


2009 ◽  
Vol 60 (1) ◽  
pp. 28-34
Author(s):  
Hiromi Nagai ◽  
Koichiro Nishiyama ◽  
Yasuhiko Tabata ◽  
Makito Okamoto

Author(s):  
Jan Jelínek ◽  
František Staněk ◽  
Radomír Grygar ◽  
Jan Franěk ◽  
Michal Poňavič
Keyword(s):  

2010 ◽  
Vol 24 (1) ◽  
pp. 10-16 ◽  
Author(s):  
Hang Qiu ◽  
Leiting Chen ◽  
Jim X Chen
Keyword(s):  

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