DocumentCode :
3218675
Title :
A nonlinear parametric identification method for biceps muscle model by using iterative learning approach
Author :
Xu, J.X. ; Zhang, Y. ; Pang, Y.-J.
Author_Institution :
Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore, Singapore
fYear :
2010
fDate :
9-11 June 2010
Firstpage :
252
Lastpage :
257
Abstract :
This paper focuses on the modeling of the human bicep brachii muscle and introduces an iterative identification method for nonlinear parameters in a virtual muscle model. This model displays characteristics that are highly nonlinear and dynamical in nature. However, the precision of the virtual muscle model depends on a set of model parameters which cannot be acquired easily using non-invasive measurement technology. Hence, experiments were conducted to derive relationships between joint angles, force, and EMG signals. In the experiment, the calculations from an anatomical mechanical model were used to relate isometric force to EMG levels at 5 different elbow angles for 3 subjects. An iterative identification method was then used to determine optimum muscle length and muscle mass of the biceps muscle based on the model and muscle data. Extensive studies have shown that the iterative identification method can achieve satisfactory results.
Keywords :
biomechanics; electromyography; iterative methods; neuromuscular stimulation; optimal control; EMG signal; anatomical mechanical model; human bicep brachii muscle; isometric force; iterative identification method; muscle mass; nonlinear parametric identification method; optimum muscle length; virtual muscle model; Computer architecture; Elbow; Electromyography; Graphical user interfaces; Humans; Iterative methods; Joints; Muscles; Recruitment; Tendons;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Automation (ICCA), 2010 8th IEEE International Conference on
Conference_Location :
Xiamen
ISSN :
1948-3449
Print_ISBN :
978-1-4244-5195-1
Electronic_ISBN :
1948-3449
Type :
conf
DOI :
10.1109/ICCA.2010.5524270
Filename :
5524270
Link To Document :
بازگشت