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

Abstract Inverse dynamics based simulations on musculoskeletal models is a commonly used method for the analysis of human movement. Due to inaccuracies in the kinematic and force plate data, and a mismatch between the model and the subject, the equations of motion are violated when solving the inver... Full description

Journal Title: Journal of biomechanics 2014, Vol.47 (10), p.2321-2329
Main Author: Fluit, R
Other Authors: Andersen, M.S , Kolk, S , Verdonschot, N , Koopman, H.F.J.M
Format: Electronic Article Electronic Article
Language: English
Subjects:
Quelle: Alma/SFX Local Collection
Publisher: United States: Elsevier Ltd
ID: ISSN: 0021-9290
Link: https://www.ncbi.nlm.nih.gov/pubmed/24835471
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recordid: cdi_proquest_miscellaneous_1551061906
title: Prediction of ground reaction forces and moments during various activities of daily living
format: Article
creator:
  • Fluit, R
  • Andersen, M.S
  • Kolk, S
  • Verdonschot, N
  • Koopman, H.F.J.M
subjects:
  • Activities of Daily Living
  • Adult
  • Analysis
  • Biomechanical Phenomena
  • Body Mass Index
  • Computer simulation
  • Contact
  • Dynamic consistency
  • Dynamics
  • Equations of motion
  • Female
  • Force plates
  • Ground reaction forces and moments
  • Grounds
  • Humans
  • Inverse dynamics
  • Kinematics
  • Male
  • Mathematical models
  • Mathematical optimization
  • Middle Aged
  • Models, Anatomic
  • Models, Biological
  • Movement
  • Muscle, Skeletal - physiology
  • Muscular system
  • Musculoskeletal model
  • Optimization techniques
  • Physical Medicine and Rehabilitation
  • Range of Motion, Articular
  • Somatotropin releasing hormone
  • Stress, Mechanical
  • Studies
ispartof: Journal of biomechanics, 2014, Vol.47 (10), p.2321-2329
description: Abstract Inverse dynamics based simulations on musculoskeletal models is a commonly used method for the analysis of human movement. Due to inaccuracies in the kinematic and force plate data, and a mismatch between the model and the subject, the equations of motion are violated when solving the inverse dynamics problem. As a result, dynamic inconsistency will exist and lead to residual forces and moments. In this study, we present and evaluate a computational method to perform inverse dynamics-based simulations without force plates, which both improves the dynamic consistency as well as removes the model׳s dependency on measured external forces. Using the equations of motion and a scaled musculoskeletal model, the ground reaction forces and moments (GRF&Ms) are derived from three-dimensional full-body motion. The method entails a dynamic contact model and optimization techniques to solve the indeterminacy problem during a double contact phase and, in contrast to previously proposed techniques, does not require training or empirical data. The method was applied to nine healthy subjects performing several Activities of Daily Living (ADLs) and evaluated with simultaneously measured force plate data. Except for the transverse ground reaction moment, no significant differences ( P >0.05) were found between the mean predicted and measured GRF&Ms for almost all ADLs. The mean residual forces and moments, however, were significantly reduced ( P >0.05) in almost all ADLs using our method compared to conventional inverse dynamic simulations. Hence, the proposed method may be used instead of raw force plate data in human movement analysis using inverse dynamics.
language: eng
source: Alma/SFX Local Collection
identifier: ISSN: 0021-9290
fulltext: fulltext
issn:
  • 0021-9290
  • 1873-2380
url: Link


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descriptionAbstract Inverse dynamics based simulations on musculoskeletal models is a commonly used method for the analysis of human movement. Due to inaccuracies in the kinematic and force plate data, and a mismatch between the model and the subject, the equations of motion are violated when solving the inverse dynamics problem. As a result, dynamic inconsistency will exist and lead to residual forces and moments. In this study, we present and evaluate a computational method to perform inverse dynamics-based simulations without force plates, which both improves the dynamic consistency as well as removes the model׳s dependency on measured external forces. Using the equations of motion and a scaled musculoskeletal model, the ground reaction forces and moments (GRF&Ms) are derived from three-dimensional full-body motion. The method entails a dynamic contact model and optimization techniques to solve the indeterminacy problem during a double contact phase and, in contrast to previously proposed techniques, does not require training or empirical data. The method was applied to nine healthy subjects performing several Activities of Daily Living (ADLs) and evaluated with simultaneously measured force plate data. Except for the transverse ground reaction moment, no significant differences ( P >0.05) were found between the mean predicted and measured GRF&Ms for almost all ADLs. The mean residual forces and moments, however, were significantly reduced ( P >0.05) in almost all ADLs using our method compared to conventional inverse dynamic simulations. Hence, the proposed method may be used instead of raw force plate data in human movement analysis using inverse dynamics.
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subjectActivities of Daily Living ; Adult ; Analysis ; Biomechanical Phenomena ; Body Mass Index ; Computer simulation ; Contact ; Dynamic consistency ; Dynamics ; Equations of motion ; Female ; Force plates ; Ground reaction forces and moments ; Grounds ; Humans ; Inverse dynamics ; Kinematics ; Male ; Mathematical models ; Mathematical optimization ; Middle Aged ; Models, Anatomic ; Models, Biological ; Movement ; Muscle, Skeletal - physiology ; Muscular system ; Musculoskeletal model ; Optimization techniques ; Physical Medicine and Rehabilitation ; Range of Motion, Articular ; Somatotropin releasing hormone ; Stress, Mechanical ; Studies
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descriptionAbstract Inverse dynamics based simulations on musculoskeletal models is a commonly used method for the analysis of human movement. Due to inaccuracies in the kinematic and force plate data, and a mismatch between the model and the subject, the equations of motion are violated when solving the inverse dynamics problem. As a result, dynamic inconsistency will exist and lead to residual forces and moments. In this study, we present and evaluate a computational method to perform inverse dynamics-based simulations without force plates, which both improves the dynamic consistency as well as removes the model׳s dependency on measured external forces. Using the equations of motion and a scaled musculoskeletal model, the ground reaction forces and moments (GRF&Ms) are derived from three-dimensional full-body motion. The method entails a dynamic contact model and optimization techniques to solve the indeterminacy problem during a double contact phase and, in contrast to previously proposed techniques, does not require training or empirical data. The method was applied to nine healthy subjects performing several Activities of Daily Living (ADLs) and evaluated with simultaneously measured force plate data. Except for the transverse ground reaction moment, no significant differences ( P >0.05) were found between the mean predicted and measured GRF&Ms for almost all ADLs. The mean residual forces and moments, however, were significantly reduced ( P >0.05) in almost all ADLs using our method compared to conventional inverse dynamic simulations. Hence, the proposed method may be used instead of raw force plate data in human movement analysis using inverse dynamics.
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abstractAbstract Inverse dynamics based simulations on musculoskeletal models is a commonly used method for the analysis of human movement. Due to inaccuracies in the kinematic and force plate data, and a mismatch between the model and the subject, the equations of motion are violated when solving the inverse dynamics problem. As a result, dynamic inconsistency will exist and lead to residual forces and moments. In this study, we present and evaluate a computational method to perform inverse dynamics-based simulations without force plates, which both improves the dynamic consistency as well as removes the model׳s dependency on measured external forces. Using the equations of motion and a scaled musculoskeletal model, the ground reaction forces and moments (GRF&Ms) are derived from three-dimensional full-body motion. The method entails a dynamic contact model and optimization techniques to solve the indeterminacy problem during a double contact phase and, in contrast to previously proposed techniques, does not require training or empirical data. The method was applied to nine healthy subjects performing several Activities of Daily Living (ADLs) and evaluated with simultaneously measured force plate data. Except for the transverse ground reaction moment, no significant differences ( P >0.05) were found between the mean predicted and measured GRF&Ms for almost all ADLs. The mean residual forces and moments, however, were significantly reduced ( P >0.05) in almost all ADLs using our method compared to conventional inverse dynamic simulations. Hence, the proposed method may be used instead of raw force plate data in human movement analysis using inverse dynamics.
copUnited States
pubElsevier Ltd
pmid24835471
doi10.1016/j.jbiomech.2014.04.030