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使用拉格朗日乘数法预测个体肌肉力量——矢状面人体上肢模型:I. 理论考量

Prediction of Individual Muscle Forces Using Lagrange Multipliers Method - A Model of the Upper Human Limb in the Sagittal Plane: I. Theoretical Considerations.

作者信息

Raikova ROSITSA

机构信息

Centre of Biomedical Engineering, Bulgarian Academy of Sciences, Acad.G.Bonchev Srt., bl.105, 1113 Sofia, Bulgaria.

出版信息

Comput Methods Biomech Biomed Engin. 2000;3(2):95-107. doi: 10.1080/10255840008915257.

Abstract

Analytical solutions of indeterminate problems formulated for biomechanical models with more than one degree of freedom (DOF) are rarely found. This paper is an extension of the investigations of a 1 DOF model (Raikova, 1996, J. Biomechanics, 763-772) for a more complex 3 DOF model. The proposed model of the human upper limb is in the sagittal plane and includes ten muscle elements, four of them being two-joint ones. The formulated optimization task is solved analytically using the method of Lagrange multipliers. It is supposed that the optimization function is complex but can be approximated by a weighted sum of the squared muscle forces, where the nature of the weight factors of the muscles are unknown. The proposed computational algorithm for determination of the unknown individual muscle forces and joint reactions is easily implemented and may be extended without difficulties for more DOF and muscles. The aim is to establish a means of investigation of the possible weight coefficients for different modelled situations, which will help in searching for their physiological interpretation and analytical description.

摘要

针对具有多个自由度(DOF)的生物力学模型所制定的不确定问题,很少能找到解析解。本文是对一个单自由度模型(Raikova,1996年,《生物力学杂志》,763 - 772页)研究的扩展,研究对象为一个更复杂的三自由度模型。所提出的人体上肢模型位于矢状面,包括十个肌肉单元,其中四个是双关节肌肉单元。使用拉格朗日乘数法对所制定的优化任务进行解析求解。假定优化函数较为复杂,但可以通过肌肉力平方的加权和来近似,其中肌肉权重因子的性质未知。所提出的用于确定未知个体肌肉力和关节反力的计算算法易于实现,并且可以毫无困难地扩展到更多自由度和肌肉的情况。目的是建立一种方法,用于研究不同建模情况下可能的权重系数,这将有助于寻找它们的生理学解释和解析描述。

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