DocumentCode :
3759419
Title :
A Hill-Type Submaximally-Activated Musculotendon Model and Its Simulation
Author :
Lixin Sun;Yingfei Sun;Zhipei Huang;Jiateng Hou;Jiankang Wu
Author_Institution :
Sensor Network &
fYear :
2015
Firstpage :
439
Lastpage :
442
Abstract :
Hill-type models are ubiquitous in biomechanical simulations because of their computational simplicity and efficiency. But these models are designed to describe the maximally activated muscles and muscle properties are linearly scaled when they are applied to sub maximally activated conditions. This scaling approach should be based on the independence of muscle activation and force-length properties, which has not been proven yet. Actually, muscles in vivo are unlikely to be often maximally activated during daily life. Therefore, effective methods should be taken to modify the existing Hill-type model to insure the accuracy of their applications. This paper analyzed the sub maximal activation conditions, developed a sub maximally-activated musculotendon model on the basis of Millard damped equilibrium model and implemented the benchmark experiments to verify effectiveness of the modified model.
Keywords :
"Muscles","Mathematical model","Computational modeling","Analytical models","Biological system modeling","Tendons","Predictive models"
Publisher :
ieee
Conference_Titel :
Distributed Computing and Applications for Business Engineering and Science (DCABES), 2015 14th International Symposium on
Type :
conf
DOI :
10.1109/DCABES.2015.116
Filename :
7429650
Link To Document :
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