Dynamical biomechanical model of the shoulder for muscle-force estimation

Author(s):  
Ingram David ◽  
Mullhaupt Philippe ◽  
Terrier Alexandre ◽  
Etienne Pralong ◽  
Alain Farron
2006 ◽  
Vol 06 (03) ◽  
pp. 229-239 ◽  
Author(s):  
KARL DAGGFELDT

A biomechanical model was generated in order to investigate the possible mechanisms behind reductions in muscle performance due to muscle bulging. It was shown that the proportion of fiber force contributing to the total muscle force is reduced with fiber bulging and that the cause of this reduction is due to the intramuscular pressure (IMP) created by the bulging fibers. Moreover, it was established that the amount of IMP generated muscle force reduction is determined by the extent to which muscle thickening restricts muscle fibers from shortening, thereby limiting their power contribution. It was shown that bulging can set a limit to the maximal size a muscle can take without losing force and power producing capability. Possible effects, due to bulging, on maximal muscle force in relation to both muscle length and muscle shortening velocity were also demonstrated by the model.


2005 ◽  
Vol 15 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Didier Staudenmann ◽  
Idsart Kingma ◽  
Dick F. Stegeman ◽  
Jaap H. van Dieën

2009 ◽  
Vol 25 (1) ◽  
pp. 43-53 ◽  
Author(s):  
Daniel Cury Ribeiro ◽  
Joelly Mahnic de Toledo ◽  
Roberto Costa Krug ◽  
Jefferson Fagundes Loss

Shoulder injuries are often related to rotator cuff muscles. Although there are various models for muscle force estimation, it is difficult to ensure that the results obtained with such models are reliable. The aim of the current study was to compare two models of muscle force estimation. Eight subjects, seven male and one female (mean age of 24 yr; mean height of 1.83 m), performed five isokinetic maximum concentric contractions of internal and external shoulder rotation. Two models with different algorithms were used. In both, the input data consisted of the measured internal rotation moment. Comparisons were made between the difference and the average results obtained with each model of muscle force estimation. There was reasonable agreement among the results for force between the two models for subscapularis, pectoralis major, and anterior deltoideus muscles results. Conversely, poor correlation was found for the latissimus dorsi, teres major, and middle deltoid. These results suggest that the algorithm structure might have a strong effect on muscle force estimation results.


2011 ◽  
Vol 110-116 ◽  
pp. 3400-3404
Author(s):  
Gang Tang ◽  
Wei Jian Mi ◽  
Dao Fang Chang ◽  
Cheng Tao Wang

To introduce a novel method of driving robot move. This method is to use the force-line model to drive the limbs of the robot inspired from the skeleton movement driven by muscle. A humanoid robot with the force-line model has been constructed. New software for muscle force estimation has been developed. The solution of the parameters which are the input of the software has been statement. Finally, the input parameters have been obtained by experiment and calculation. The humanoid robot can be driven to imitate human walking by the force which along the force-line. It will provide wide insight in developing new type robot for complex motion and applying the technology of force-line driving model in other filed.


2013 ◽  
Vol 680 ◽  
pp. 449-453
Author(s):  
Gang Tang ◽  
Jia Hui Huang ◽  
Gao Feng Wei ◽  
Gang Wu ◽  
Hai Shan Wang

To explore the new method for the design of humanoid robot driving system. This driving system is to use the force-line model to parallel drive the limbs of the robot. A humanoid robot driving system with the force-line model has been constructed. New software for muscle force estimation has been developed. The solution of the parameters which are the input of the software has been statement. Finally, the input parameters have been obtained by experiment and calculation. The humanoid robot can be parallel driven to imitate human walking by the force which along the force-line. It will provide wide insight in developing new type humanoid robot for complex motion.


2021 ◽  
pp. 785-789
Author(s):  
Maialen Zelaia Amilibia ◽  
Gabriel Hadjadje ◽  
Camilo Cortés ◽  
A. de los Reyes-Guzmán ◽  
A. Gil-Agudo ◽  
...  

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