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R Raikova

Publications and source records attributed to R Raikova.

3 recordsLinked to original sources

About weight factors in the non-linear objective functions used for solving indeterminate problems in biomechanics.

A lot of non-linear objective criteria are applied for solving the indeterminate problems formulated for different biomechanical models--most of them can be covered by the expression [formula in text]. It might be noted, however, that most of the suggested criteria are not applicable if considerable antagonistic co-contractions exist. This could be an effect of treating the agonistic muscles and their respective antagonists in one and the same manner in the objective function. Using a completely inverse approach (the muscle forces are supposed to be known quantities) and a simple 1DOF model (actuated by three agonistic muscles and one corresponding antagonist) it has been shown which values of the weight factors c(i) may predict different levels of muscle forces from the two antagonistic groups. Three hypothetical border variants for magnitudes of the muscle forces are considered (flexor muscles are only active, extensor muscles are only active, considerable co-contraction of flexors and extensors exists). The main conclusions are: the signs of c(i) at agonistic muscles have to be opposite to the c(i) signs at their antagonists; the signs of the weight factors depend on the direction of the net external joint moment; the closer c(i) to zero, the bigger force will be predicted in the ith muscle.

Biomechanical Phenomena↗

A model of the flexion-extension motion in the elbow joint some problems concerning muscle forces modelling and computation.

This paper represents an application of a general approach for modelling and mathematical investigation of the human upper limb considered in a previous paper (Raikova, 1992, J. Biomechanics 25, 857-867). Six ways of modelling the muscle force in a plane are suggested and compared to each other. A model of the flexion-extension motion in the elbow joint is proposed, which includes two extensor muscles and three flexor muscles. An optimization task is formulated and solved analytically using the Lagrange multipliers method with an objective function dependent on the n-th power of the muscle forces moduli: sigma c(i)F(i)/(n) (n > 1). The influence of a set of parameters (the power n in the objective function, the weight coefficients c i, the lever arms of the modelled muscle forces, an external force applied to the forearm) on the predicted muscle forces and on the joint reaction is investigated. The results demonstrate that strictly positive and continuous solutions for all muscle forces (for synergistic muscles, also for the antagonistic ones) may be simultaneously predicted if the coefficients C(i) are properly chosen.

Algorithms↗

A general approach for modelling and mathematical investigation of the human upper limb.

This paper is an attempt to systematize and solve the problems connected with biomechanical modelling and mathematical investigation of the upper limb, when all muscles acting on the shoulder, elbow and wrist joint are included. The basic problem is the assumption of a hypothesis for the unit vectors, collinear with muscle forces. The so-called segment-lines modelling of the muscle force direction is proposed for solving this problem. This approach combines the simplicity of the straight line joining the muscle tendon origin to the insertion point, its application for the analytical description of the model and the real description of the muscle anatomical functions. The principle of the anatomically adequate moment is the general criterion for choosing the segments (straight and curvilinear sections) by which the direction of the muscle action is replaced. The different optimization techniques which are used for solving the statically indeterminate problem, formulated for musculoskeletal biomechanical models, are considered. Aiming to obtain strictly positive and continuous solutions for the muscle forces moduli, the application of the Lagrange multipliers method is proposed. The possibility of applying different optimization criteria is explored. A general conclusion may be formulated: if there exists any criterion which is independent of the joint angles, it follows than that it must be dependent on the joint reactions and, in addition, it must be nonlinearly dependent on the muscle forces moduli.

Algorithms↗