Prediction of ground reaction forces and moments during various activities of daily living

摘要: Inverse dynamics based simulations on musculoskeletal models is a commonly used method for the analysis of human movement. Due to inaccuracies in kinematic and force plate data, mismatch between model subject, equations motion are violated when solving inverse problem. As result, dynamic inconsistency will exist lead residual forces moments. In this study, we present evaluate computational perform dynamics-based without plates, which both improves consistency as well removes model׳s dependency measured external forces. Using scaled model, ground reaction moments (GRF&Ms) derived from three-dimensional full-body motion. The entails contact optimization techniques solve indeterminacy problem during double phase and, contrast previously proposed techniques, does not require training or empirical data. was applied nine healthy subjects performing several Activities Daily Living (ADLs) evaluated with simultaneously Except transverse moment, no significant differences (P>0.05) were found mean predicted GRF&Ms almost all ADLs. moments, however, significantly reduced ADLs using our compared conventional simulations. Hence, may be instead raw data movement dynamics.