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Optimisation routine.

Journal: Frontiers in Bioengineering and Biotechnology

Article Title: Identification of a lumped-parameter model of the intervertebral joint from experimental data

doi: 10.3389/fbioe.2024.1304334

Figure Lengend Snippet: Optimisation routine.

Article Snippet: Using an interior-point optimisation algorithm (‘fmincon’) in MatLab the rotational stiffness in flexion-extension (FE), and the translational stiffnesses in the axial and the anterior-posterior directions were optimised to minimise the following cost function (Eq.): c f = ∑ i = n w i p i − m i 2 (1) The cost function was the sum of the weighted squared absolute error between predicted ( p i ) and measured ( m i ) motion in n DoF (where n = 8, anterior-posterior, axial, right-left translation, and flexion-extension for L2 and L3).

Techniques: