摘要
针对人体站立平衡姿态保持过程中,下肢主要肌肉的肌力变化分布的最优求解问题。本研究将人体下肢运动肌肉骨骼简化为具有3关节和9块肌肉的平面物理模型,并在此基础上建立了用于冗余肌力优化求解的数学模型。分别利用粒子群优化(POS)单目标和多目标算法进行最优化求解。数值计算的结果表明多目标优化可以更合理地得到9组肌力的分布及变化规律。最后,通过对仿真结果的分析,定性地分析了被动运动下人体恢复站立平衡过程中各肌肉群的运动协调规律。
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 3joints and 9muscles.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.
出处
《生物医学工程学杂志》
EI
CAS
CSCD
北大核心
2015年第1期59-66,共8页
Journal of Biomedical Engineering
基金
国家自然科学基金资助项目(61074175)
关键词
人体站立平衡
冗余肌力
多目标优化
粒子群优化
human standing balance
redundant muscular forces
multi-objective optimization
particle swarm optimization
