Influence of body segments’ parameters estimation models on inverse dynamics solutions during gait

Abstract

The purpose of the present study was to examine the influence of anthropometric data on joint kinetics during gait. We particularly focused on the sensitivity of inverse dynamics solutions to the use of models for body segment parameters (BSP) estimation. Six often used estimation models were selected to provide BSP values for the three segments of the lower limb. Kinematics and dynamics were sampled from seven subjects performing barefoot gait at three different speeds. Joint kinetics were estimated with the bottom-up method using BSP values derived from each estimation model as anthropometric inputs. The BSP estimates were highly sensitive to the model used with deviations ranging from at least 9.73% up to 60%. Maximal variations of peak values for the hip joint flexion/extension moment during the swing phase were 20.11%. Hence, our findings suggest that the influence of BSP cannot be neglected. Observed deviations are especially due to the effect of varying simultaneously the mass, moments of inertia and the center of mass location values, according to the underlying relationship of interdependency linking each component. Considering both the differences found in joint kinetics and the level of accuracy of BSP models, evidence is provided that using multiple regression BSP estimation functions derived from Zatsiorsky and Seluyanov should be recommended to assess joint kinetics.

Inverse Dynamics and Artificial Neural Network Applications in Gait Analysis of the Disabled Subjects

“…A fair agreement of the recently reported results was due to an improved modelling of global muscle torques generated in lower extremity joints during gait [12][13][14]. It may thus be assumed that the curves presented in Fig.…”

Assessing the Suitability of the Microsoft Kinect for Calculating Person Specific Body Segment Parameters

“…For example, calculation of body volume index (BVI) is reliant on accurate measures of segment volume [2], whilst inverse dynamics models require estimates of segment mass to calculate joint force and power [3]. Accuracy is paramount [4], as small changes have been shown to greatly influence subsequent calculations [5][6][7].…”

Segmental contributions to the ground reaction force in the single support phase of gait

“…While some studies (Pàmies-Vilà et al, 2012;Reinbolt et al, 2007) suggest that errors in kinematic data influence joint moment estimates more than the errors in BSP estimates, others (Rao et al, 2006;Pearsall and Costigan, 1999) show that the influence of BSP errors cannot be neglected. In all the above cases, the sensitivity of the joint reactions to the perturbations in the kinematics and BSP are studied using the overdetermined inverse model.…”