Literature DB >> 7078116

Selection of body segment parameters by optimization methods.

C L Vaughan, J G Andrews, J G Hay.   

Abstract

The selection of body segment parameters (BSPs) is a difficult yet essential task in many biomechanical studies. The methods used to date-cadaver, reaction board, mathematical modeling, gamma scanning, and kinematics-all have a number of drawbacks. The purpose of the present paper is to present an alternative method, based on kinematic data and optimization theory, for selecting BSPs. The design variables are the BSPs and the objective function to be minimized is based on the difference between calculated and measured distal extremity kinetics, while the equality constraints are based on Newtonian principles as well as bilateral symmetry of the BSPs. Three different activities are used to generate "optimal" sets of BSPs and these values are different, but not markedly so, from cadaver values. Further detailed investigation appears warranted.

Mesh:

Year:  1982        PMID: 7078116     DOI: 10.1115/1.3138301

Source DB:  PubMed          Journal:  J Biomech Eng        ISSN: 0148-0731            Impact factor:   2.097


  8 in total

1.  Are patient-specific joint and inertial parameters necessary for accurate inverse dynamics analyses of gait?

Authors:  Jeffrey A Reinbolt; Raphael T Haftka; Terese L Chmielewski; Benjamin J Fregly
Journal:  IEEE Trans Biomed Eng       Date:  2007-05       Impact factor: 4.538

2.  Evaluation of a particle swarm algorithm for biomechanical optimization.

Authors:  Jaco F Schutte; Byung-Il Koh; Jeffrey A Reinbolt; Raphael T Haftka; Alan D George; Benjamin J Fregly
Journal:  J Biomech Eng       Date:  2005-06       Impact factor: 2.097

3.  The effects of subthalamic and pallidal deep brain stimulation on postural responses in patients with Parkinson disease.

Authors:  Rebecca J St George; Patricia Carlson-Kuhta; Kim J Burchiel; Penelope Hogarth; Nicholas Frank; Fay B Horak
Journal:  J Neurosurg       Date:  2012-03-16       Impact factor: 5.115

4.  Accelerometry-based prediction of movement dynamics for balance monitoring.

Authors:  Valeria Lucia Fuschillo; Fabio Bagalà; Lorenzo Chiari; Angelo Cappello
Journal:  Med Biol Eng Comput       Date:  2012-07-18       Impact factor: 2.602

Review 5.  Methodological factors affecting joint moments estimation in clinical gait analysis: a systematic review.

Authors:  Valentina Camomilla; Andrea Cereatti; Andrea Giovanni Cutti; Silvia Fantozzi; Rita Stagni; Giuseppe Vannozzi
Journal:  Biomed Eng Online       Date:  2017-08-18       Impact factor: 2.819

6.  Compensatory stepping in Parkinson's disease is still a problem after deep brain stimulation randomized to STN or GPi.

Authors:  R J St George; P Carlson-Kuhta; L A King; K J Burchiel; F B Horak
Journal:  J Neurophysiol       Date:  2015-06-24       Impact factor: 2.714

7.  Optimal estimation of dynamically consistent kinematics and kinetics for forward dynamic simulation of gait.

Authors:  C David Remy; Darryl G Thelen
Journal:  J Biomech Eng       Date:  2009-03       Impact factor: 2.097

8.  Inverse dynamics of mechanical multibody systems: An improved algorithm that ensures consistency between kinematics and external forces.

Authors:  Herre Faber; Arthur J van Soest; Dinant A Kistemaker
Journal:  PLoS One       Date:  2018-09-28       Impact factor: 3.240

  8 in total

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