Abstract
INTRODUCTION In gait analysis, joint forces and moments are computed from force plate data, kinematics data and body segment parameters (BSP). BSP are estimated from predictive or scaling equations, such as de Leva’s equations [1], which are limited to the three principal moments of inertia and to the center of mass’ position along a line joining two adjacent joints. Dumas proposed a method to compute personalized BSP of the thigh thanks to stereoradiography [2]. The object of this work is to combine stereoradiography and gait analysis to set up a patient specific model of the lower limb in order to enhance the accuracy of computed kinetics and improve the clinical analysis.
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