Optimal solution and analysis of muscular force during standing balance.
- Author:
Hongrui WANG
;
Hui ZHENG
;
Kun LIU
- Publication Type:Journal Article
- MeSH:
Algorithms;
Gait;
Humans;
Joints;
Models, Biological;
Models, Theoretical;
Movement;
Muscles;
physiology;
Postural Balance
- From:
Journal of Biomedical Engineering
2015;32(1):59-66
- CountryChina
- Language:Chinese
-
Abstract:
The present study was aimed at the optimal solution of the main muscular force distribution in the lower extremity during standing balance of human. The movement musculoskeletal system of lower extremity was simplified to a physical model with 3 joints and 9 muscles. Then on the basis of this model, an optimum mathematical model was built up to solve the problem of redundant muscle forces. Particle swarm optimization (PSO) algorithm is used to calculate the single objective and multi-objective problem respectively. The numerical results indicated that the multi-objective optimization could be more reasonable to obtain the distribution and variation of the 9 muscular forces. Finally, the coordination of each muscle group during maintaining standing balance under the passive movement was qualitatively analyzed using the simulation results obtained.
