Skip to Main content Skip to Navigation
Journal articles

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 (Biomechanics VIII-B, 1983, pp. 1152–1159) should be recommended to assess joint kinetics.
Complete list of metadata

Cited literature [33 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01442068
Contributor : Guillaume Rao <>
Submitted on : Wednesday, November 15, 2017 - 11:23:12 AM
Last modification on : Monday, March 29, 2021 - 1:44:07 PM
Long-term archiving on: : Friday, February 16, 2018 - 1:30:10 PM

File

rao2006.pdf
Explicit agreement for this submission

Identifiers

Collections

Citation

Guillaume Rao, David Amarantini, Eric Berton, Daniel Favier. Influence of body segments' parameters estimation models on inverse dynamics solutions during gait. Journal of Biomechanics, Elsevier, 2006, 39 (8), pp.1531-1536. ⟨10.1016/j.jbiomech.2005.04.014⟩. ⟨hal-01442068⟩

Share

Metrics

Record views

189

Files downloads

1234