Literature DB >> 11955500

An EMG-based, muscle driven forward simulation of single support phase of gait.

Ilse Jonkers1, A Spaepen, G Papaioannou, C Stewart.   

Abstract

This paper describes the process used to generate lower limb kinematics during single limb stance phase of gait, using musculoskeletal modelling, muscle driven forward simulation and gradient based optimisation techniques (including design of experiment techniques). Initial inputs to the forward simulation process were the normalised quantified muscle activation patterns of 22 muscles, and the initial segmental configuration (both angles and angular velocity) derived from Winter (The biomechanics and motor control of human gait, 1987, University of Waterloo Press, pp. 1-72). Two distinct musculoskeletal models (one including 6 DOF, the other 7 DOF) were defined and a muscle driven forward simulation was implemented.A series of optimisation sequences then were executed to modify the muscle activation patterns and initial segmental configuration, until the system output of the forward simulation approximated the angle data reported by. The accuracy and effectiveness of the analysis sequence proposed and the model response obtained using two distinct musculoskeletal models were verified and analysed with respect to the kinesiology of normal walking.

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Year:  2002        PMID: 11955500     DOI: 10.1016/s0021-9290(01)00240-8

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  3 in total

1.  Muscle synergies may improve optimization prediction of knee contact forces during walking.

Authors:  Jonathan P Walter; Allison L Kinney; Scott A Banks; Darryl D D'Lima; Thor F Besier; David G Lloyd; Benjamin J Fregly
Journal:  J Biomech Eng       Date:  2014-02       Impact factor: 2.097

2.  Analysis of joint force and torque for the human and non-human ape foot during bipedal walking with implications for the evolution of the foot.

Authors:  Weijie Wang; Rami J Abboud; Michael M Günther; Robin H Crompton
Journal:  J Anat       Date:  2014-06-13       Impact factor: 2.610

3.  Evaluating Muscle Synergies With EMG Data and Physics Simulation in the Neurorobotics Platform.

Authors:  Benedikt Feldotto; Cristian Soare; Alois Knoll; Piyanee Sriya; Sarah Astill; Marc de Kamps; Samit Chakrabarty
Journal:  Front Neurorobot       Date:  2022-07-12       Impact factor: 3.493

  3 in total

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