Herzog W
Faculty of Physical Education, University of Calgary, Alta., Canada.
J Neurosci Methods. 1987 Oct;21(2-4):167-79. doi: 10.1016/0165-0270(87)90114-2.
In order to estimate individual muscle forces during human movement a mathematically underdetermined system, representing the human musculoskeletal system, was solved using a non-linear optimization algorithm. The load sharing between muscles was made to depend upon the instantaneous contractile conditions of the muscles, a feature not incorporated in comparable non-linear optimal designs reported in the literature. The optimization algorithm was formulated as a convex system which guarantees a unique solution at the global minimum. The strengths and weaknesses of the present optimization algorithm were evaluated and compared to the classical algorithm reported by Crowninshield and Brand (J. Biomech., 14 (1981) 793-801).
为了估计人体运动过程中各肌肉的力量，使用非线性优化算法求解了一个代表人体肌肉骨骼系统的数学欠定系统。肌肉之间的负荷分配取决于肌肉的瞬时收缩状态，这是文献中报道的类似非线性优化设计中未包含的一个特征。优化算法被构建为一个凸系统，以保证在全局最小值处有唯一解。对当前优化算法的优缺点进行了评估，并与Crowninshield和Brand报道的经典算法进行了比较（《生物力学杂志》，14 (1981) 793 - 801）。
