Towards optimal multi-channel EMG electrode configurations in muscle force estimation: a high density EMG study

2005 ◽  
Vol 15 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Didier Staudenmann ◽  
Idsart Kingma ◽  
Dick F. Stegeman ◽  
Jaap H. van Dieën
2017 ◽  
Vol 14 (4) ◽  
pp. 046005 ◽  
Author(s):  
Chengjun Huang ◽  
Xiang Chen ◽  
Shuai Cao ◽  
Bensheng Qiu ◽  
Xu Zhang

2007 ◽  
Vol 54 (4) ◽  
pp. 751-754 ◽  
Author(s):  
Didier Staudenmann ◽  
Andreas Daffertshofer ◽  
Idsart Kingma ◽  
Dick F. Stegeman ◽  
Jaap H. van Dieen

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.


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